JP6965129B2 - Information processing equipment, information processing methods and programs - Google Patents

Description

Embodiments of the present invention relate to information processing devices, information processing methods and programs.

A "multi-hop type" communication system in which a relay network is formed by mutual communication between a plurality of communication nodes having a wireless communication function is known. A "multi-hop" communication system includes, for example, a plurality of hierarchically configured communication nodes, each of which communicates with each other using radio signals. Data transmitted by a communication node with a lower layer is relayed and transmitted by another communication node with a higher layer. When a new communication node is added to such a communication system, it is desired to more accurately derive the possibility that the newly added communication node can be connected to the communication system.

Japanese Unexamined Patent Publication No. 2015-109596 Japanese Unexamined Patent Publication No. 2014-174910

Hiromasa Tsuchiya et al., "Study of Radio Propagation Model for Wireless Communication Lines for Smart Meters-Measurement and Evaluation of Radio Propagation Characteristics in Residential, Urban, and Suburban Areas-", Research Report of Central Research Institute of Electric Power (Central Research of Electric Power) Report), R11031, June 2012

An object to be solved by the present invention is to provide an information processing device, an information processing method and a program for more accurately deriving the possibility that a communication node newly added to a communication system can be connected to the communication system. ..

The information processing device of the embodiment includes a radio wave propagation model acquisition unit and a node connection probability calculation unit. The radio wave propagation model acquisition unit acquires a radio wave propagation model showing the reachability of the radio signal depending on the distance in a communication system in which a plurality of communication nodes communicate using radio signals under a hierarchical connection relationship. The node connection probability calculation unit includes node design information including position information of the plurality of communication nodes, a radio wave propagation model acquired by the radio wave propagation model acquisition unit, and node connection of communication nodes related to the communication node to be analyzed. Based on the actual information, the connection probability that the communication of the communication node to be analyzed is connected to the center server which is the communication destination of the communication node at least via the aggregation device of the communication node to be analyzed is calculated.

The figure which shows the structure of the connection rate simulation apparatus 1 of embodiment. The figure for demonstrating the radio wave propagation model DB 162 of an embodiment. The figure for demonstrating the node design information DB 161 of an embodiment. The figure for demonstrating the connection record of the communication node of embodiment, and the radio wave reception strength. The figure for demonstrating the process of acquiring the radio wave propagation model of an embodiment. The flowchart which shows the flow of the process of acquiring the radio wave propagation model of an embodiment. The figure for demonstrating an example of the arrangement of the communication node of an embodiment. The figure which shows the relationship between the distance between communication nodes of embodiment and the interconnection probability by a graph. The flowchart which shows the flow of the analysis process of embodiment. The flowchart which shows the specific example of the analysis process of embodiment. It is a figure for demonstrating the node design information DB 161A of the 2nd Embodiment. The figure for demonstrating the correction coefficient about the network connection probability of the 2nd Embodiment. The figure which shows the hardware configuration example of the connection rate simulation apparatus 1 of an embodiment. The figure for demonstrating the connection probability of an embodiment. The figure for demonstrating the connection probability of an embodiment. The figure which shows the relationship between the node density and the node connection probability of an embodiment.

Hereinafter, the information processing apparatus, the information processing method, and the program of the embodiment will be described with reference to the drawings. In the following description, the same reference numerals are given to configurations having the same or similar functions. Then, the duplicate description of those configurations may be omitted.

The connection rate simulation device 1 shown in the embodiment is an example of an information processing device. The term "connection" as used in the present application includes a state in which telecommunications is possible. Further, the connection rate simulation device 1 analyzes the possibility of connecting a communication path that straddles devices that are directly connected by wireless communication. The communication path (the section between any two aggregation devices or communication nodes) analyzed for the possibility of connection by wireless communication is simply called the "target section".

Prior to the description of the connection rate simulation device 1, the "connection probability" of the communication in the embodiment will be described. The "connection probability" in the embodiment includes two definitions of "interconnection probability" and "node connection probability", and each of them is defined as follows. 14 and 15 are diagrams for explaining the connection probability of the embodiment.

The "interconnection probability" is an index value indicating the ease of connection between communication nodes in the "target section". Further, the "node connection probability" is an index value indicating the ease of connection when the communication of the communication node is connected to the communication system via the aggregation device.

The node connection probability is calculated based on, for example, the interconnection probability for each target section on the above route. A calculation example is shown below, but in the present application, the method of calculating the node connection probability from the interconnection probability does not matter. It may be calculated using numerical calculation, or it may be obtained indirectly from the density of nodes as described later.

[Example of calculating node connection probability from interconnection probability]
In the multi-hop type communication system, there are a plurality of routes for the communication node to connect to the communication system (center server 23) via the aggregation device.
Focusing on a specific route among a plurality of existing routes, for example, the communication route from the communication node to the center server 23 can be modeled as shown in FIG. In the model shown in FIG. 14, a plurality of communication nodes are connected in series with a target section sandwiched on the specific route, and finally connected to the center server 23 via the aggregation device. For example, SM1 and SM2 are communication nodes, and CR is an aggregation device.

For example, assuming that the ease of connection of communication in each "target section" is stochastically determined, the calculation of the node connection probability that a communication node can connect to the center server 23 using the specific route is described below. It may be defined as. SM1 which is a communication node has the center server 23 and the number of relay stages as one stage, and the node connection probability of communication via two "target sections" is indicated by p1, and SM2 has the center server 23 and the number of relay stages as two stages, and 3 When the node connection probability of communication via the "target section" is shown by p2, each can be expressed by the following equations.

p1 = f2 (d0, d1) ... (1)
p2 = f3 (d0, d1, d2) ... (2)

Each of the variables d0, d1 and d2 in the above equations (1) and (2) is the interconnection probability of each target section from the center server 23 to CR, from CR to SM1, and from SM1 to SM2. The function f2 in the equation (1) takes two variables d0 and d1, and the function f3 in the equation (2) takes three variables d0, d1 and d2. Similar to the above, the number of relay stages up to the center server 23 is set to (N-1) stages, and the node connection probability of communication via N "target sections" is indicated by pN. Equation (3) is an arithmetic expression for calculating pN.

pN = fN (d0, d1, d2, ..., d (N-1)) ... (3)

The function fN shown in the equation (3) takes N variables d0 to d (N-1). For example, N is a natural number of 2 or more. By defining as in Eq. (3), the above function can change the number of variables according to the number of "target sections" according to the number of relay stages.

For example, the node connection probabilities shown in the above equations may be expressed as the product of the interconnection probabilities of each "target section" arranged in series on the route. It should be noted that there is no limitation in using the numerical analysis calculation method as each function of the above calculation formula, and even if the interconnection probability is calculated from the result accumulated by using the logical calculation method. good. For example, the above equation (1) may be defined as the following equation (4).
p1 = d0∧d1 ・ ・ ・ (4)

In the above equation (4), the probability p1 that the communication node (SM1) can connect to the center server 23 using a specific route is the logical product of the interconnection probabilities of each “target section” arranged in series on the route. It is represented by.

Further, when a plurality of routes exist in parallel between the communication node and the center server 23, the communication routes can be modeled as shown in FIG. 15, for example.

In this case, the fact that communication is possible if any of the plurality of routes can be used is equivalent to the significance of the logical sum (OR) that communication of each route is possible. .. Therefore, the ease of connection of each of the plurality of routes to the center server 23 may be expressed by the sum of the node connection probabilities of the routes in which the logical sum (OR) is significant.

The SM2 shown in FIG. 15 can communicate with the center server 23 by using two communication paths. The first route is a route for communicating with the center server via SM1 and CR, and the second route is a route for communicating with the center server via CR.

The node connection probability that the SM2 can connect to the center server 23 and the number of relay stages in two stages using the first route is p2 as shown in the above equation (2).

Further, the node connection probability that the SM2 can connect the center server 23 and the number of relay stages in one stage by using the second route is p2BP as shown in the equation (5) similar to the equation (1) described above.

p2BP = f2 (d0, d3) ... (5)

In this case, the node connection probability of SM2, which is the communication node to be analyzed, can be expressed by the sum of p2 of the first route and p2BP of the second route. Further, the above function is not limited to using a numerical calculation method, and may calculate the interconnection probability from the results accumulated by using a logical calculation method. The result calculated by the above calculation is called "logical sum".

[Example of indirectly obtaining the node connection probability from the node density from the interconnection probability]
As described above, the node connection probability to be analyzed is the logical sum of the ease of connection of each of the plurality of routes to the existing center server 23. The sequential disjunction may be calculated as described above, but instead, the node connection probability may be calculated by the following method.

For example, as the node density around the node to be analyzed increases, the number of routes to the center server increases, and the number of routes accumulated as a logical sum increases. That is, the higher the node density around the analysis target node, the higher the node connection probability tends to be.

FIG. 16 is a diagram showing the relationship between the node density and the node connection probability of the embodiment. The horizontal axis of the graph shown in FIG. 16 is the node density, and the vertical axis is the node connection probability. The correlation between the node density and the node connection probability shown in FIG. 16 can be created in advance by using the connection record of the communication node, the above theoretical calculation, and the like. By using the correlation as shown in FIG. 16, it is possible to indirectly obtain the node connection probability from the value of the node density of the communication node higher than the communication node to be analyzed.

(First Embodiment)
FIG. 1 is a diagram showing a configuration of the connection rate simulation device 1 of the embodiment. The connection rate simulation device 1 analyzes the connection probability of communication for each communication node 21 in the “multi-hop type” communication system 2.

[Communications system]
First, an example of the communication system 2 to be analyzed will be described. The communication system 2 includes a plurality of communication nodes 21, an aggregation device 22, and a center server 23.

A plurality of communication nodes 21 will be described. Each of the plurality of communication nodes 21 has a wireless communication module, a processor such as a CPU (Central Processing Unit), and various circuits. The communication node 21 communicates using a wireless signal.

For example, each communication node 21 transmits information to the aggregation device 22. The information transmitted by the communication node 21 to the aggregation device 22 includes at least the node information of the own communication node 21. The above-mentioned node information includes data such as identification information of the self-communication node 21, radio wave reception intensity, and various measured values. The radio wave reception strength includes data on the electric field strength or signal strength of radio waves received from other devices. The communication node 21 communicates with another communication node 21 or the aggregation device 22 by a predetermined wireless communication method.

The aggregation device 22 will be described. The aggregation device 22 includes a wireless communication module, a processor such as a CPU, and various circuits. The aggregation device 22 acquires node information from at least one communication node 21 within a predetermined range, and aggregates (collects) the node information.

One or a plurality of communication nodes 21 are connected to the aggregation device 22, and a tree-type network starting from the aggregation device 22 is formed. The plurality of communication nodes 21 are hierarchically configured by a tree-type network. The aggregation device 22 and one or more communication nodes 21 directly connected to the aggregation device 22 are connected by wireless communication.

For example, the first layer directly connected to the aggregation device 22 includes a communication node 21-1 and a communication node 21-2. The second layer includes a communication node 21-11, a communication node 21-21, and a communication node 21-22. Each of the communication node 21-1, the communication node 21-2, the communication node 21-11, the communication node 21-21, and the communication node 21-22 is an example of the communication node 21. Hereinafter, when the communication node is not distinguished from other communication nodes, it is simply referred to as a communication node 21 or a plurality of communication nodes 21.

In the above case, the communication node 21-11 transmits the node information of the communication node 21-11 to the communication node 21-1, and the communication node 21-1 sends the node information of the communication node 21-11 to the aggregation device 22. Is relayed and transmitted. The communication node 21-21 transmits the node information of the communication node 21-21 to the communication node 21-2, and the communication node 21-2 relays the node information of the communication node 21-21 to the aggregation device 22. Send. The case of the communication node 21-22 is the same as that of the communication node 21-21 described above.

The range shown in FIG. 1 is up to the second layer, but the present invention is not limited to this, and the third and higher layers may be included. As described above, when at least one communication node 21 is assigned to one layer and relayed in multiple stages, the connectivity with the communication node 21 of the adjacent layer is improved in each communication node 21. , The connectivity of the communication system 2 can be improved.

The aggregation device 22 communicates with a communication node 21 that communicates using a wireless signal under a hierarchical connection relationship. A wireless communication network 20-1 is formed in which the aggregation device 22 and the communication node 21 that communicates using wireless signals under a hierarchical connection relationship communicate with each other.

When the communication node 21 is installed in a wide range beyond the range of communication using wireless signals under the hierarchical connection relationship of the specific aggregation device 22, a plurality of aggregation devices 22 are installed for communication. It is preferable to set the communication path so that each of the nodes 21 is within the wireless communication range of any of the plurality of aggregation devices 22. Similar to the above-mentioned wireless communication network 20-1, a wireless communication network 20-N or the like corresponding to each of the plurality of aggregation devices 22 is formed.

The aggregating device 22 transmits the node information acquired from the communication node 21 to the center server 23 through the wide area network 24. The wide area network 24 is, for example, an optical cable network or a mobile phone network.

The center server 23 stores the information of each communication node 21 sent from the aggregation device 22 in the storage device. The center server 23 provides information on each communication node 21 in response to a request from the connection rate simulation device 1. For example, the information of each communication node 21 is information such as node information of each communication node 21 aggregated by the aggregation device 22 and information related to the node connection record.

[Connection rate simulation device]
As shown in FIG. 1, the connection rate simulation device 1 includes a simulation condition acquisition unit 11, a node connection probability calculation unit 12, a system-wide connection rate calculation unit 13, a result output unit 14, and a radio wave propagation model acquisition. A unit 15 and a storage unit 16 are provided.

The simulation condition acquisition unit 11, the node connection probability calculation unit 12, the system-wide connection rate calculation unit 13, the result output unit 14, and the radio wave propagation model acquisition unit 15 are programmed by, for example, a hardware processor such as a CPU (software). ) Is executed. In addition, some or all of these components are hardware (circuits) such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), FPGA (Field-Programmable Gate Array), and GPU (Graphics Processing Unit). It may be realized by the part; including circuitry), or it may be realized by the cooperation of software and hardware.

The simulation condition acquisition unit 11 acquires the conditions for calculating the overall connection rate of the communication system 2. The conditions include, for example, set values of parameters used by the node connection probability calculation unit 12 to calculate the connection probability.

The node connection probability calculation unit 12 determines the position where the communication node 21 to be analyzed is arranged as the position of the target communication node TN. Here, the communication node 21 to be analyzed, that is, the target communication node TN is a communication node that has not yet been installed in reality. The node connection probability calculation unit 12 obtains the "node connection probability" when the communication node 21 is installed at the above-defined position. Hereafter, this is assumed.

The node connection probability calculation unit 12 calculates the "node connection probability" of the target communication node TN based on the following various information regarding the position of the target communication node TN. The above-mentioned various information includes communication node connection record information acquired from the center server 23, communication node design information acquired from the node design information DB 161 described later, and radio wave propagation model information acquired from the radio wave propagation model DB 162 described later. Is done.

FIG. 2 is a diagram for explaining the radio wave propagation model DB 162 of the embodiment. As shown in FIG. 2, the radio wave propagation model DB 162 is a collection of radio wave propagation models for each environmental condition. The radio wave propagation model information is information indicating a radio wave propagation model for each environmental condition. The radio wave propagation model information is basically information in which the distance between communication nodes (hereinafter, communication distance) and the received electric field strength are associated with each other.

Further, the radio wave propagation model information may be further added with dispersion of the received electric field strength and the like. For example, the radio wave propagation model DB 162 includes a plurality of models from the radio wave propagation model DB 162A to the radio wave propagation model DB 162Z.

The first environmental condition indicates, for example, the characteristic of the position where the communication node 21 is arranged, and is a condition regarding the attribute information regarding the land use around the point. Similarly, other environmental conditions are conditions related to specific circumstances.

The above-mentioned radio wave propagation model DB 162 is a collection of radio wave propagation models for each environmental condition, but is not limited to "for each environmental condition". For example, it may be for each administrative section, or it may be simply a division of regions.

The node connection probability calculation unit 12 calculates the "interconnection probability" of the target section using the communication distance of the target section and the radio wave propagation model, and calculates the "node connection probability" of each communication node based on this. When calculating the "interconnection probability", the node connection probability calculation unit 12 selects one from a plurality of radio wave propagation models based on the node design information. If there is only one radio wave propagation model, the node connection probability calculation unit 12 simply selects it. Then, the node connection probability calculation unit 12 calculates the "node connection probability" based on the "interconnection probability" by the method as described above.

The explanation will be continued by returning to FIG. The system-wide connection rate calculation unit 13 calculates the "overall connection rate (connection rate)" of the entire or a part of the communication system 2 based on the calculation result of the node connection probability calculation unit 12. For example, the system-wide connection rate calculation unit 13 sets the ratio of "the number of communication nodes having a certain level of communication quality or higher" to the number of installed communication nodes 21 in the communication system 2 as the "overall connection" of the communication system 2. Calculate as "rate".

Alternatively, the system-wide connection rate calculation unit 13 uses statistically derived values such as the average value and the median of the connection probabilities of the installed communication nodes 21 in the communication system 2 as the "overall connection rate" of the communication system 2. It may be calculated.

The result output unit 14 displays the calculation results such as the node connection probability of each target communication node TN and the overall connection rate of the communication system 2, and outputs the result as an electronic file.

The radio wave propagation model acquisition unit 15 uses the radio wave reception intensity between the communication nodes 21 to create a radio wave propagation model of the environmental condition corresponding to the communication node 21 by arithmetic processing, and radio wave propagation model information of the environmental condition is radio wave. It is stored in the propagation model DB 162.

Alternatively, the radio wave propagation model acquisition unit 15 may acquire the radio wave propagation model information from an external device via the simulation condition acquisition unit 11. The radio wave propagation model acquisition unit 15 may correct an existing radio wave propagation model by using the created radio wave propagation model. As a result, the radio wave propagation model acquisition unit 15 acquires the radio wave propagation model.

The storage unit 16 stores the node design information DB 161 and the radio wave propagation model DB 162.

FIG. 3 is a diagram for explaining the node design information DB 161 of the embodiment. The node design information DB 161 shown in FIG. 3 stores the identification information of the communication node 21, the installation position information, the installation environment information, the information regarding the installation time, and the like as "node design information". The communication node identification information is given corresponding to each of the communication nodes 21, and is information for identifying the communication node 21 under the control of at least one aggregation device 22. The installation position information includes information that can specify the position of the communication node 21 in the two-dimensional plane or the three-dimensional space. For example, the installation position information may be either latitude / longitude information or information represented in another coordinate system, or may be a combination of altitude information. Further, the installation environment information may include information for identifying the characteristics of the environment around the position where the communication node 21 is installed. This installation environment information includes, for example, attribute information regarding land use at the position where the communication node 21 is installed. The information regarding the installation time includes the date when the communication node 21 is installed, or the date when the communication node 21 is scheduled to be installed as a future plan. The connection rate simulation device 1 can perform a connection rate simulation at any time including the future based on the installation time information.

Hereinafter, the processing according to the embodiment will be described. The process according to the embodiment includes a process related to acquisition of a radio wave propagation model and an analysis process. These processes are performed asynchronously with each other, for example.

First, the process related to the acquisition of the radio wave propagation model will be described with reference to FIGS. 4 to 6. FIG. 4 is a diagram for explaining the connection record of the communication node and the radio wave reception strength of the embodiment.

FIG. 4 shows information showing the actual result of connecting the communication node 21 identified by the communication node identification number to which of the aggregation device 22 and the other communication node 21, and the communication node 21 by the connection. Indicates the value of the radio wave reception strength of the received radio signal. The aggregation device 22 is identified by the aggregation device identification number CR. The communication node identification information in this table corresponds to the communication system 2 shown in FIG.

For example, a Δ mark in the table indicates that there is a record of connection to the device on the upper layer side. The ▽ mark in the table indicates that there is a record of connection to the lower layer device. In the table, the column indicated by (-) indicates that there was no connection to another device. For example, the communication node 21-2 to which (N2) is assigned to the communication node identification number is connected to the aggregation device 22 of the device on the upper layer side thereof, and the communication node 21-21 and the communication node 21-of the device on the lower layer side thereof. It is connected to 22. The communication node 21-11 to which the communication node identification number (N1-11) is assigned is not connected to the communication system 2.

In addition, the description following the Δ or ▽ mark indicates the radio wave reception strength of the radio signal. For example, the radio wave reception intensity of the radio signal of the communication node 21-2 takes the following values. The radio wave reception strength of the radio signal from the aggregation device 22 is P2 (CR), the radio wave reception strength of the radio signal from the communication node 21-21 is P2 (N21), and the radio signal from the communication node 21-22. The radio wave reception strength is P2 (N22). The values of P2 (CR), P2 (N21), P2 (N22), etc. depend on the strength of the received radio signal.

FIG. 5 is a diagram for explaining a process of acquiring a radio wave propagation model of the embodiment.

The horizontal axis in FIGS. 5A to 5D is the communication distance (distance in the figure), and the vertical axis is the radio wave reception intensity. The “x” mark in the figure indicates the position of the actual data of the communication distance and the radio wave reception strength.

FIG. 5A shows the connection results of all communication nodes 21. The connection record data of all communication nodes 21 is distributed in the area ZA. The graph LA is a curve in which representative values of radio wave propagation model information created based on the data of all the communication nodes 21 are connected. The all communication nodes 21 include those that satisfy the first environmental condition and those that satisfy the second environmental condition.

FIG. 5B shows the connection record of the communication node 21 satisfying the first environmental condition. The connection results of the communication nodes 21 satisfying the first environmental condition are distributed in the area Z1. Graph L1 is a curve in which representative values of radio wave propagation model information created based on the data of the communication node 21 satisfying the first environmental condition are connected. FIG. 5C shows the connection record of the communication node 21 satisfying the second environmental condition. The connection results of the communication nodes 21 satisfying the second environmental condition are distributed in the area Z2. Graph L2 is a curve in which representative values of radio wave propagation model information created based on the data of the communication node 21 satisfying the second environmental condition are connected.

Graph L1 of FIG. 5 (b) and graph L2 of FIG. 5 (c) are extracted in FIG. 5 (d) and shown in comparison with each other. As shown in this graph, if the environmental conditions are different, the curve connecting the representative values of the created radio wave propagation model will be different.

FIG. 6 is a flowchart showing a flow of processing for acquiring the radio wave propagation model of the embodiment.

First, the radio wave propagation model acquisition unit 15 determines whether or not it is necessary to create a radio wave propagation model suitable for desired conditions (step SA10). When it is necessary to create the above radio wave propagation model, for example, when a radio wave propagation model suitable for a desired condition is not stored in the radio wave propagation model DB 162, or when an initial state that does not depend on a desired condition is determined, it is desirable. For example, when a radio wave propagation model created in advance based on the above conditions is diverted. For example, the radio wave propagation model acquisition unit 15 determines that it is necessary to create a radio wave propagation model when the radio wave propagation model suitable for the desired environmental conditions is not stored in the radio wave propagation model DB 162.

When it is necessary to create a radio wave propagation model, the radio wave propagation model acquisition unit 15 reads out and acquires the node design information of the node design information DB 161 (step SA20).

The radio wave propagation model acquisition unit 15 extracts the communication node 21 provided in the same environment as the surrounding environment of the position specified based on the node design information from the communication nodes 21 operating in the communication system 2. Then, the actual value of the radio wave reception intensity of the extracted communication node 21 is acquired from the communication system 2 (step SA30).

Next, the radio wave propagation model acquisition unit 15 calculates a representative value indicating the reachability of the radio signal for each communication distance in the same environment as described above by statistically analyzing the distribution of those measured values (step SA40). .. The distribution of the above-mentioned measured values is the distribution of points arranged at positions where the radio wave reception intensity with respect to the communication distance matches on a plane having the communication distance and the radio wave reception intensity as axes.

For example, the radio wave propagation model acquisition unit 15 calculates the average value, the median value, etc. of the distribution of the radio wave reception intensity of each communication node 21 as a representative value in the communication distance for each communication distance. Next, the radio wave propagation model acquisition unit 15 creates a radio wave propagation model from an approximate expression based on a representative value indicating the reachability of the radio signal for each communication distance, and writes the radio wave propagation model information in the radio wave propagation model DB 162 ( Step SA50), the series of processes shown in the figure is completed.

On the other hand, when it is not necessary to create a radio wave propagation model, the radio wave propagation model acquisition unit 15 acquires a radio wave propagation model from an external device (step SA60), writes it in the radio wave propagation model DB 162, and performs a series of series shown in the figure. Finish the process.

Next, the analysis process of the embodiment will be described with reference to FIGS. 7 to 10. FIG. 7 is a diagram for explaining an example of the arrangement of the communication nodes of the embodiment. FIG. 8 is a graph showing the relationship between the distance between communication nodes and the interconnection probability of the embodiment.

As shown in FIG. 7, the position of the center AP is aligned with the reference connection destination. The reference connection destination is, for example, the aggregation device 22. It is divided into five regions from the inside to the region Z1 and the outer region in order from the inside by a concentric boundary with respect to the central AP. For example, the communication node 21-1 is arranged at the position of SM1 in the area Z1, the communication node 21-2 is arranged at the position of SM2 in the area Z2, and the communication node 21-11 is arranged at the position of SM3 in the area Z3. The arrangement is planned, the communication node 21-21 is arranged at the position of SM4 in the area Z4, and the communication node 21-22 is arranged at the position of SM5 in the area Z5.

The relationship between the interconnection probabilities in each range (region) shown in FIG. 7 is summarized in the graph of FIG. The horizontal axis in FIG. 8 is the distance between the communication nodes 21, and the vertical axis is the interconnection probability. The curve shows the expected value of the interconnection probability at each distance. As the distance between the communication nodes 21 increases, the received radio wave intensity decreases, and the interconnection probability also decreases accordingly. If they are arranged within the range of each region from region Z1 to region Z5, an interconnection probability higher than the expected value of the farthest point of each region is expected. For example, if the area Z1 to the area Z3 is an area that can be directly communicated from the aggregation device 22, the area Z4, the area Z5, and the area outside them are difficult to communicate directly from the aggregation device 22. Become. A to E in FIG. 8 indicate the position of the boundary from the region Z1 to the region Z5.

When the above-mentioned arrangement request of each communication node 21 is received, the node connection probability calculation unit 12 aggregates the communication nodes 21-21 and the communication nodes 21-22 located in the areas Z4 and Z5. Set another communication path without communicating directly with 22. For example, the node connection probability calculation unit 12 may set a communication path via the communication node 21-2 for the communication node 21-21 and the communication node 21-22, and output the result.

The connection rate simulation device 1 may analyze by directly using the value of the radio wave reception intensity in the communication enable / disable determination process, and obtains the above-mentioned interconnection probability without directly using the value of the radio wave reception intensity. It may be used as an index for determining conditions. By using the interconnection probability as an index for determining the condition as in the above embodiment, the connection rate simulation device 1 can analyze the communication section in which different wireless communication methods are combined using the same index.

FIG. 9 is a flowchart showing the flow of the analysis process of the embodiment. Before the following processing is executed, it is assumed that the radio wave propagation model at the point where the communication node 21 is planned to be arranged has been determined.

First, the simulation condition acquisition unit 11 identifies the communication node 21 to be arranged and acquires the conditions for executing the analysis process (step SB10). For example, the conditions of the analysis process include the identification number of the communication node 21, the information about the position where the arrangement is planned, the installation time information, the target time for obtaining the node connection probability by the simulation in the analysis process, the target area, and other cases when performing the simulation. These are the parameters of.

Next, the node connection probability calculation unit 12 acquires the position information of the target communication node TN based on the above analysis processing conditions (step SB20). The node connection probability calculation unit 12 may specify the communication node 21 to be analyzed based on the installation timing information and another communication node 21 that communicates with the communication node 21. The target communication node 21 in this case is the target communication node TN.

Next, the node connection probability calculation unit 12 acquires radio wave propagation model information of the environmental conditions corresponding to the target section related to the target communication node TN from the radio wave propagation model DB 162 based on the attribute information of the position of the target communication node TN ( Step SB30).

Next, the node connection probability calculation unit 12 acquires the connection record of the communication node 21 related to the position of the target communication node TN from the communication system 2 (step SB40).

Next, the node connection probability calculation unit 12 interconnects the target communication node TN based on the radio wave propagation model information, the position information of the target communication node TN, and the connection record of the communication node 21 related to the position of the target communication node TN. The probability and the node connection probability are calculated (step SB50). In calculating the node connection probability, the node connection probability calculation unit 12 may calculate the node connection probability based on the density information (node arrangement density) of the communication nodes 21 arranged in the vicinity.

Next, the system-wide connection rate calculation unit 13 calculates the overall connection rate in the communication system 2 based on the node connection probabilities of the plurality of communication nodes 21 included in the predetermined range in the communication system 2 (step SB60).

The system-wide connection rate calculation unit 13 communicates using the correlation between the calculated value of the "node connection probability" of each communication node 21 at a specific time point and the actual value of the "overall connection rate" of the communication system 2. The "overall connection rate" in the system 2 may be corrected. By completing the process of step SB60 by the system-wide connection rate calculation unit 13, a series of processes shown in the figure is completed.

A more specific example of the analysis process shown in FIG. 9 will be described with reference to FIG. FIG. 10 is a flowchart showing a specific example of the analysis process of the embodiment. The difference from the flowchart of FIG. 9 described above will be mainly described.

For example, the radio wave propagation model DB 162 stores a plurality of types of radio wave propagation models that are associated with typical conditions of the surrounding environment that are different from each other. Typical surrounding environment conditions include various conditions such as whether the building in which the communication node 21 is installed is a detached house, an apartment house, or whether there are many buildings in the vicinity where the communication node 21 is installed. The above conditions may be defined by using, for example, information on land use types (agricultural land, forests, building land, etc.) specified by the Geospatial Information Authority of Japan. The land use type specified by the Geospatial Information Authority of Japan is an example of attribute information related to land use.

As described above, typical surrounding environments include high-rise residential areas, low-rise residential areas, forests, and mountainous areas. In the following description, the case where the above typical surrounding environment is used will be illustrated.

After completing the processes of step SB10 and step SB20, the radio wave propagation model acquisition unit 15 uses the procedure shown below to obtain a radio wave propagation model under the environmental conditions corresponding to the target section related to the target communication node TN in which the communication node 21 is arranged. get.

For example, the radio wave propagation model acquisition unit 15 first sets up the installation environment information of the node design information DB 161 including the land use type of the position P of the target communication node TN based on the position information such as the address and latitude / longitude information (land in the figure). Use classification information) is acquired (step SB31).

Next, the radio wave propagation model acquisition unit 15 determines whether or not the position P is classified as a building site based on the land use type of the position P of the target communication node TN (step SB32). When the position P is classified as a building site, the radio wave propagation model acquisition unit 15 determines whether or not the building at the position P is a high-rise building based on the installation environment information of the node design information DB161 ( Step SB33). When the building at the position P is a high-rise building, the radio wave propagation model acquisition unit 15 selects the design information for the high-rise building (step SB34) and proceeds to the process of step SB40. If the building at that position P is not a high-rise building, the radio wave propagation model acquisition unit 15 selects the design information for the low-rise building (step SB35) and proceeds to the process of step SB40.

When the position P is not a building site, the radio wave propagation model acquisition unit 15 determines whether or not the position P is classified as a forest based on the installation environment information of the node design information DB161 (step SB36). When the position P is classified as a forest, the radio wave propagation model acquisition unit 15 selects the design information for the forest (step SB37) and proceeds to the process of step SB40.

When the position P is not a forest, the radio wave propagation model acquisition unit 15 determines whether or not the position P is classified as a mountainous area based on the installation environment information of the node design information DB161 (step SB38). When the position P is classified into a mountainous area, the radio wave propagation model acquisition unit 15 selects the design information for the mountainous area (step SB39) and proceeds to the process of step SB40.

When the position P is not in the mountainous area, the radio wave propagation model acquisition unit 15 displays a warning indicating that the analysis process of the position P is out of the applicable range on the input / output device 1E or the like (step SB70). The series of processing shown in is completed.

After completing any of the processes of step SB34, step SB35, step SB37, and step SB39, the processes of step SB40 to step SB60 are performed to complete a series of processes.

By the above processing, the connection rate simulation device 1 corresponds to typical surrounding environments such as a high-rise residential area, a low-rise residential area, a forest, and a mountainous area when calculating the interconnection probability with respect to the distance between the communication nodes 21. Use the radio wave propagation model that has been created. In this case, in step SB50, the node connection probability calculation unit 12 arranges the target communication node 21 based on the node design information and the radio wave propagation model corresponding to the surrounding environment of the position P of the target communication node TN. The interconnection probability in the target section between the TN and its communication partner is calculated.
As described above, the connection rate simulation device 1 is a radio wave propagation model associated with each attribute information related to land use, and can use a plurality of radio wave propagation models that can be selected according to the classification based on the attribute information related to land use. ..

According to the above embodiment, the connection rate simulation device 1 includes a node connection probability calculation unit 12 and a radio wave propagation model acquisition unit 15. The node connection probability calculation unit 12 includes node design information including position information of a plurality of communication nodes 21, a radio wave propagation model showing the reachability of the radio signal acquired by the radio wave propagation model acquisition unit 15, and a communication node to be analyzed. Based on the node connection record information of the communication node related to 21, the node connection probability from the communication node 21 to be analyzed to the predetermined communication node in the communication system 2 is calculated.

As a result, the connection rate simulation device 1 can more accurately derive the possibility that the communication node 21 newly added to the communication system 2 can connect to the communication system 2.

Further, the connection rate simulation device 1 can obtain the node connection probability of each communication node 21 to the communication system 2 for each communication node 21. The connection rate simulation device 1 may output the node connection probability of each communication node 21 to another device so as to be used for monitoring each communication node 21 or creating an installation plan, and the connection rate simulation device 1 itself may output the node connection probability. The above node connection probabilities may be used to perform monitoring and installation plan creation processes.

In particular, in constructing the "multi-hop type" communication system 2, the connection rate simulation device 1 can accurately predict "connectivity estimation" in the installation process of the communication node 21, the aggregation device 22, and the like. As a result, the connection rate simulation device 1 can support the design of the communication system 2 so as to be excellent in communication quality and cost, and can improve the accuracy of the operation design based on the "connectivity estimation".

Further, the connection rate simulation device 1 may further include a system-wide connection rate calculation unit 13. The system-wide connection rate calculation unit 13 can calculate the connection rate for each of the entire or partial areas of the communication system 2 by calculating the overall connection rate of the entire communication system 2 based on all the communication nodes 21.

The value of the overall connection rate does not simply indicate the state of each communication node 21, but indicates the state of each communication node 2 as a whole or a partial area. The connection rate simulation device 1 uses the above value of the overall connection rate for creating an overall networking plan for the communication system 2, monitoring the status of the communication system 2 on a daily basis, or predicting the future communication status. Can be used.

Further, the radio wave propagation model acquisition unit 15 is based on the actual information of the radio wave reception intensity of the radio signal regarding the target section and the node design information including the position information of at least one communication node 21 regarding the target section, and the radio wave of the target section. A propagation model may be derived.

The target section may be associated between one communication node 21 and the aggregation device 22, or may be associated between two communication nodes 21.

In the former case, the radio wave propagation model acquisition unit 15 receives the actual information of the radio wave reception intensity of the radio signal regarding the target section corresponding between one communication node 21 and the aggregation device 22, and one communication node 21 regarding the target section. The radio wave propagation model of the target section is derived based on the node design information including the position information of the above and the aggregation device 22 and the position information regarding the target section.

In the latter case, the radio wave propagation model acquisition unit 15 includes the actual information of the radio wave reception intensity of the radio signal regarding the target section corresponding between the two communication nodes 21 and the position information of the two communication nodes 21 regarding the target section. Based on the node design information, a radio wave propagation model for the target section is derived.

A plurality of radio wave propagation models may be associated with the target section between the communication node 21 to be analyzed and the predetermined communication node 21 in the communication system 2. In this case, the radio wave propagation model acquisition unit 15 may derive a radio wave propagation model having different characteristics as a radio wave propagation model of the target section under different conditions.

The communication system 2 of the embodiment aggregates data transmitted by using wireless signals from a plurality of communication nodes 21 that communicate using wireless signals and two communication nodes 21 among the plurality of communication nodes 21. Including the aggregation device 22. The at least one communication node 21 may communicate directly with the aggregation device 22. Alternatively, at least one communication node 21 may indirectly communicate with the aggregation device 22 via another communication node 21 among the plurality of communication nodes 21.

The radio wave propagation model acquisition unit 15 is based on the actual information of the radio wave reception intensity of the radio signal regarding the target section and the node design information including the position information of at least one communication node 21 regarding the target section. A radio wave propagation model may be derived. Since the connection rate simulation device 1 creates a radio wave propagation model based on the actual radio wave reception intensity between the actual communication nodes 21, the radio wave propagation model can be constructed with high accuracy. As described above, the radio wave propagation model is associated with the radio wave reception intensity with respect to the distance between the communication nodes. The radio wave reception intensity is characterized by its average value, dispersion, and the like.

Further, the radio wave propagation model acquisition unit 15 may determine the radio wave propagation model of the target section from a plurality of radio wave propagation models corresponding to the target section based on the reachability of the radio wave of the target section. As a result, the radio wave propagation model acquisition unit 15 can switch between a plurality of types of radio wave propagation models according to the land use classification provided by the Geographical Survey Institute.

Further, the radio wave propagation model acquisition unit 15 corrects and corrects the radio wave propagation model based on the actual information of the radio wave reception intensity between the communication nodes 21 acquired from the center server 23 and the node design information of the node design information DB 161. The radio wave propagation model is added to the radio wave propagation model DB 162. As a result, the radio wave propagation model acquisition unit 15 can write the corrected radio wave propagation model to the radio wave propagation model DB 162 and update it.

(First modification of the first embodiment)
An example of correcting the applied radio wave propagation model is shown in this modified example.
At the stage of step SA40 shown in FIG. 9, whether or not the representative value in the communication distance of the radio wave propagation model acquisition unit 15 differs from the value obtained from the radio wave propagation model indicating the reachability of the radio signal by a predetermined amount or more. (Step SA42: not shown).

When the representative value differs by a predetermined amount or more from the value obtained from the radio wave propagation model indicating the reachability of the radio signal, the radio wave propagation model acquisition unit 15 corrects the radio wave propagation model indicating the reachability of the radio signal. May be (step SA44: not shown).

For example, the radio wave propagation model acquisition unit 15 classifies the communication nodes 21 based on predetermined conditions, and creates a radio wave propagation model for each classification. The radio wave propagation model created for each of such classifications may have a higher approximation to the actual propagation characteristics than the radio wave propagation model when not classified. The radio wave propagation model acquisition unit 15 may correct the applied radio wave propagation model by dividing the applicable range according to the above-mentioned predetermined conditions.

When the representative value does not differ by a predetermined amount or more from the value obtained from the radio wave propagation model indicating the reachability of the radio signal, the radio wave propagation model acquisition unit 15 uses the radio wave propagation model indicating the reachability of the radio signal. (Step SA46: not shown).

The above processes from steps SA42 to SA46 may be carried out following step SA40 in the flowchart of FIG. 9 described above.

(Second variant of the first embodiment)
In this modified example, an example of configuring without using the attribute information related to land use is shown.

A plurality of selectable radio wave propagation models may be prepared as a radio wave propagation model of the target section between the communication node 21 to be analyzed and the predetermined communication node 21 in the communication system 2. For example, the radio wave propagation model acquisition unit 15 derives a radio wave propagation model of the target section based on the actual information of the radio wave reception intensity of the radio signal related to the target section, so that the radio wave propagation model acquisition unit 15 is not necessarily associated with the attribute information related to land use. A plurality of selectable radio wave propagation models can be used without classification according to the classification based on the characteristics of the distribution of the actual information of the radio wave reception intensity.

(Second Embodiment)
A second embodiment will be described with reference to FIGS. 11 to 13. In the present embodiment, assuming that a plurality of communication nodes 21 are arranged inside the building BL and the target communication node TN is arranged at a position representing the building BL, the analysis process is performed using the target communication node TN. Will be described.

Here, the requirements that may occur when a plurality of communication nodes 21 such as an integrated wattmeter are arranged inside the building BL are summarized. Hereinafter, the building BL accommodating a plurality of communication nodes will be referred to as an “apartment house”.
-Data of three-dimensional coordinates may be used to clearly specify the position where the communication node 21 is arranged inside the building BL. However, in the case of an existing building, it may not be easy to obtain data on three-dimensional coordinates. Even when the data of the three-dimensional coordinates cannot be obtained, it is desired that the same method as the case of using the data of the three-dimensional coordinates can be applied.
-Since the number of communication nodes 21 arranged inside the building BL is relatively large, it is desired that the node connection probability can be calculated by a simple process. In this case, the node connection probability includes at least one of the interconnection probability between the communication nodes 21 inside the building BL and the interconnection probability between the communication node 21 inside the building BL and the communication nodes 21 outside the building BL. Is done. For example, the node connection probability in this case is either the interconnection probability between the communication nodes 21 inside the building BL or the interconnection probability between the communication nodes 21 inside the building BL and the communication nodes 21 outside the building BL. Can be calculated using.
-In the case of a relatively large building BL, if the number of nodes is small, the connectivity will drop due to the influence of the distance between the communication nodes and the shielding of the wall floor, etc., and the connection probability between the communication nodes 21 inside the building BL will decrease. Tend to do. It is desired that it can be applied to a building BL in which such a tendency is observed.

In the present embodiment, when a plurality of communication nodes 21 are arranged inside the building BL, the node connection probability of the communication node 21 can be calculated by a simple process for each of the above requirements.

For example, the connection rate simulation device 1 of the embodiment typically calculates the interconnection probability and the node connection probability of the communication node 21 based on the two-dimensional information. When the three-dimensional information can be used, the connection rate simulation device 1 may calculate the interconnection probability and the node connection probability of the communication nodes 21 based on the three-dimensional information.

It is relatively easy to indicate the position of the building BL in two-dimensional coordinates like a map. For example, the latitude / longitude information of the building BL can be easily obtained by using the address of the building BL or the like. The center point of the building BL may be set at the position of the building BL. Hereinafter, the two-dimensional coordinates indicating the center point of the building BL will be referred to as "aggregate point coordinates". A predetermined analysis process may be applied to the center point of the building BL in correspondence with the position of the target communication node TN described above.

Therefore, in the present embodiment, even when a plurality of communication nodes 21 are three-dimensionally arranged inside the building BL, the positions of these communication nodes 21 are set to the positions in the two-dimensional plane of the center point of the building BL. By approximating, the positions of these communication nodes 21 are shown in aggregate point coordinates. This eliminates the need to create three-dimensional coordinate data indicating the position of each communication node 21.

Hereinafter, more specific processing will be described. FIG. 11 is a diagram for explaining the node design information DB 161A of the embodiment. The node design information DB 161A shown in FIG. 11 is used as an alternative to the node design information DB 161 (FIG. 2) described above. The node design information DB161A provides "nodes" such as identification information of the building BL, building position information, the total number of communication nodes to be installed in the building BL, the number of existing communication nodes in the building BL, the communication node arrangement density in the building BL, and the like. Store as "design information".

The identification information of the building BL is given corresponding to each of the building BLs. At least one communication node 21 under the control of the aggregation device 22 is provided in the building BL. The identification information of the building BL is not given corresponding to each communication node 21, but is used as identification information representing a plurality of communication nodes 21 provided in the building BL.

The building position information includes information that can specify the position of the building BL on the two-dimensional plane. For example, the building position information is position information indicated by latitude, longitude, or the like. The total number of communication nodes to be installed in the building BL is the total number of communication nodes installed in the building BL. This total includes the number of communication nodes that have not yet been installed in the building BL. The number of communication nodes already installed in the building BL is the number of communication nodes 21 already installed in the building BL. The communication node arrangement density in the building BL indicates the density of the communication nodes 21 installed in the building BL. The details will be described later.

The connection rate simulation device 1 improves the accuracy of the connection rate by the following processing. It has been described above that the probability of interconnection between the communication nodes 21 inside the building BL tends to decrease due to the small number of communication nodes 21 installed inside the building BL. On the other hand, the connection rate simulation device 1 of the present embodiment adds the arrangement density (communication node arrangement density) of the communication nodes 21 inside the building BL to the variable to correct the influence of the above tendency.

FIG. 12 is a diagram for explaining a correction coefficient regarding the node connection probability of the embodiment. The graph shown in FIG. 12 shows the relationship between the correction coefficient (vertical axis) of the connection probability with respect to the communication node arrangement density (horizontal axis) in the building BL.

The communication node arrangement density in the building BL is the arrangement density of the communication nodes 21 installed in the building BL. The node connection probability calculation unit 12 sets the communication node arrangement density in the building BL to the total number of communication nodes arranged in the same building BL and the nodes of the communication nodes in a state in which communication is possible among the communication nodes related to the total number. Calculate based on the number. For example, the node connection probability calculation unit 12 sets the communication node arrangement density in the building BL to the total number of communication nodes arranged in the same building BL, and the communication is in a state where communication is possible among the communication nodes related to the total number. Calculated as the ratio of the number of nodes. The communication node in a communicable state may be an existing communication node in the building BL. This value sets 0 when the communication node is not installed and 1 when all the planned numbers are installed.

Here, the analysis process of the connection probability using the aggregate point coordinates for the "apartment house" will be described.

First, the node connection probability calculation unit 12 calculates the node connection probability at that position, assuming that one communication node 21 is arranged at the aggregate point coordinates of the apartment house for all the "apartment houses". The node connection probability calculation unit 12 uses the node connection probability obtained in this process as the connection probability x of the apartment house.

The node connection probability calculation unit 12 calculates the average connection probability y of the entire housing complex by the equation (6) using the correction coefficient a.

y = a × x ・ ・ ・ (6)

The node connection probability calculation unit 12 may determine the correction coefficient a in the equation (6) based on the node arrangement density inside the building BL.

For example, as shown in FIG. 12, the correction coefficient a changes so that the value of the correction coefficient a increases from 0 and gradually approaches 1 as the node arrangement density inside the building BL increases from 0 to 1. do. The curve shown in FIG. 12 is convex upward. By using such a correction coefficient a, it is possible to reduce the influence of an error that occurs in the node connection probability due to the number of communication nodes 21 provided in the building BL.

For example, the node connection probability calculation unit 12 approximates the node arrangement density inside the building BL by the following equation (7).

Node placement density inside the building BL = n / m ... (7)

However, in the equation (7), the total number of communication nodes to be installed inside the building BL is indicated by m, and the number of currently installed communication nodes is indicated by n.

According to the above embodiment, the same effect as that of the first embodiment is obtained, and the plurality of communication nodes 21 include a plurality of communication nodes 21 arranged in the same building BL. The node design information includes information for identifying the building BL in which the communication node 21 to be analyzed is arranged. The node connection probability calculation unit 12 calculates the node connection probabilities of the plurality of communication nodes 21 described above by using the arrangement densities of the plurality of communication nodes 21 in the building BL. As a result, the connection rate simulation device 1 can increase the node connection probability of the communication node 21 by a relatively simple method by calculating the node connection probability of the communication node 21 using the arrangement densities of the plurality of communication nodes 21 in the building BL. can. The correction based on the arrangement density of the communication nodes 21 may be applied to the analysis process outside the building BL without being limited to the inside of the building BL.

The node connection probability calculation unit 12 sets the arrangement density of the plurality of communication nodes to the total number of the plurality of communication nodes 21 arranged in the same building BL and the number of the plurality of communication nodes 21 in a communicable state. Calculate based on. As a result, the connection rate simulation device 1 calculates the node connection probability of the communication node 21 by using the total number of communication nodes arranged in the same building BL and the number of communication nodes in a communicable state. Therefore, the accuracy can be improved by a relatively simple method.

(Hardware configuration example of connection rate simulation device 1)
With reference to FIG. 13, the hardware configuration of the connection rate simulation device 1 of the first and second embodiments will be described. FIG. 13 is a diagram showing a hardware configuration example of the connection rate simulation device 1 of the embodiment. The connection rate simulation device 1 is, for example, a computer including a CPU 1A, a RAM 1B, a non-volatile storage device 1C, a portable storage medium drive device 1D, an input / output device 1E, and a communication interface 1F. The connection rate simulation device 1 may include an arbitrary processor such as a GPU instead of the CPU 1A. Further, some of the components shown in FIG. 2 may be omitted.

The CPU 1A will be described below by expanding the program stored in the non-volatile storage device 1C or the program stored in the portable storage medium mounted on the portable storage medium drive device 1D into the RAM 1B and executing the program. Perform various processes. The RAM 1B is used as a working area by the CPU 1A. The non-volatile storage device 1C is, for example, an HDD, a flash memory, a ROM, or the like. A portable storage medium such as a DVD, a CD (Compact Disc), or an SD (registered trademark) card is mounted on the portable storage medium drive device 1D. The input / output device 1E includes, for example, a keyboard, a mouse, a touch panel, a display device, and the like. The communication interface 1F functions as an interface when the connection rate simulation device 1 communicates with another device.

According to at least one embodiment described above, the connection rate simulation device 1 includes a radio wave propagation model acquisition unit 15 and a node connection probability calculation unit 12. The radio wave propagation model acquisition unit 15 acquires a radio wave propagation model showing the reachability of radio signals depending on the distance in the communication system 2 in which a plurality of communication nodes 21 communicate using radio signals under a hierarchical connection relationship. do. The node connection probability calculation unit 12 sets the node design information including the position information of the plurality of communication nodes 21, the radio wave propagation model showing the reachability of the radio signal acquired by the radio wave propagation model acquisition unit 15, and the target communication node. Based on the node connection record information of the related communication node, the communication of the target communication node is connected to the center server which is the communication destination of the communication node at least via the aggregation device of the communication node to be analyzed. Calculate the connection probability. With such a configuration, the possibility that a communication node newly added to the communication system can be connected to the communication system can be derived more accurately.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention, as well as in the scope of the invention described in the claims and the equivalent scope thereof.

1 ... Connection rate simulation device, 11 ... Simulation condition acquisition unit, 12 ... Node connection probability calculation unit, 13 ... System-wide connection rate calculation unit, 14 ... Result output unit, 15 ... Radio propagation model acquisition unit, 16 ... Storage unit, 161 and 161A ... Node design information DB, 162 ... Radio propagation model DB, 2 ... Communication system, 20-1, 20-N ... Wireless communication network, 21, 21-1, 21-2, 21-11, 21-21 , 21-22 ... Communication node, 22 ... Aggregator, 23 ... Center server, 24 ... Wide area network

Claims (9)

A radio wave propagation model acquisition unit that acquires a radio wave propagation model indicating the reachability of the radio signal depending on the distance in a communication system in which a plurality of communication nodes communicate using wireless signals under a hierarchical connection relationship.
Based on the node design information including the position information of the plurality of communication nodes, the radio wave propagation model acquired by the radio wave propagation model acquisition unit, and the node connection record information of the communication node related to the communication node to be analyzed. A node connection probability calculation unit that calculates the connection probability that the communication of the communication node to be analyzed is connected to the center server that is the communication destination of the communication node at least via the aggregation device of the communication node to be analyzed.
Information processing device equipped with. The information processing apparatus according to claim 1, further comprising an overall connection rate calculation unit that calculates a communication connection rate of the entire communication system based on all of the plurality of communication nodes. The plurality of communication nodes include a plurality of communication nodes arranged in the same building.
The node design information includes information for identifying the building in which the communication node is located.
The node connection probability calculation unit
The connection probability of the plurality of communication nodes is calculated by using the arrangement density of the plurality of communication nodes in the building.
The information processing device according to claim 1 or 2. The node connection probability calculation unit
The arrangement density of the plurality of communication nodes is calculated based on the total number of the plurality of communication nodes arranged in the same building and the number of the plurality of communication nodes in a communicable state.
The information processing device according to claim 3. The radio wave propagation model acquisition unit
The target is based on the actual information of the radio wave reception intensity of the radio signal regarding the target section related to the communication node to be analyzed and the node design information including the position information of the two communication nodes constituting the target section. Derivation of the radio wave propagation model of the section,
The information processing device according to any one of claims 1 to 4. The node design information includes attribute information related to land use.
The radio wave propagation model acquisition unit
Based on the actual information of the area of the target section, the radio wave propagation model used for the analysis of the target section is created for each attribute information related to the land use in the node design information.
The information processing device according to claim 5. The radio wave propagation model acquisition unit
Create the radio wave propagation model of the target section corresponding to the attribute information related to the land use.
The information processing device according to claim 6. The computer
The radio wave propagation model acquisition unit acquires a radio wave propagation model indicating the reachability of the radio signal depending on the distance in a communication system in which a plurality of communication nodes communicate using wireless signals under a hierarchical connection relationship.
Based on the node design information including the position information of the plurality of communication nodes, the radio wave propagation model acquired by the radio wave propagation model acquisition unit, and the node connection record information of the communication node related to the communication node to be analyzed. An information processing method including a process of calculating the connection probability that the communication of the communication node to be analyzed is connected to the center server which is the communication destination of the communication node at least via the aggregation device of the communication node to be analyzed. On the computer
A step of acquiring a radio wave propagation model showing the reachability of the radio signal depending on the distance in a communication system in which a plurality of communication nodes communicate using a radio signal under a hierarchical connection relationship, and a step of acquiring the radio wave propagation model.
The communication node to be analyzed is based on the node design information including the position information of the plurality of communication nodes, the acquired radio wave propagation model, and the node connection record information of the communication node related to the communication node to be analyzed. The step of calculating the connection probability that the communication of is connected to the center server which is the communication destination of the communication node at least via the aggregation device of the communication node to be analyzed.
A program to execute.

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