CN114760211A - Model simulation experiment device based on wireless sensor network - Google Patents
Model simulation experiment device based on wireless sensor network Download PDFInfo
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- CN114760211A CN114760211A CN202210363613.6A CN202210363613A CN114760211A CN 114760211 A CN114760211 A CN 114760211A CN 202210363613 A CN202210363613 A CN 202210363613A CN 114760211 A CN114760211 A CN 114760211A
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H—ELECTRICITY
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Abstract
The invention relates to a simulation experiment device, in particular to a model simulation experiment device based on a wireless sensor network, which comprises a wireless network sensor, a data collection router and a model simulation experiment computer based on OPNET, wherein the wireless network sensor comprises a control module, a sensor module, a GPS positioning module, a storage module and a network sensor wireless communication module, and the data collection router comprises a central processing unit, a data classification compression module, a data classification storage module, a data classification processing module and a data transmission module, if the important nodes are backed up, a supervision scheme is set for the important nodes, and the model can be further optimized.
Description
Technical Field
The invention relates to a simulation experiment device, in particular to a model simulation experiment device based on a wireless sensor network.
Background
The data collection is a direct and final purpose of the sensor network, a multi-region monitoring range is established, the main purpose is to acquire various parameters of the environment through deployed nodes, and the primary goal of the data collection of a typical wireless sensor network is to transmit sensing data to an information processing center completely and reliably within a time limit acceptable to a user. When the data collection of the wireless sensor network is researched, the data collection process of the wireless sensor network can be modeled, a target optimization strategy in a model is combed, the data collection problem of multiple and multi-sink nodes is solved by applying the idea of operational planning, and the method has wide academic value and application prospect.
Based on the idea of clustering or clustering, the optimization theory is used for solving the modeled data collection model, and the method is a starting point for combining the optimization theory and the practical problem. And long-time data collection is realized, namely, the nodes suddenly fail or stop working due to other factors. The fault tolerance and robustness of the network is then an important consideration. Data collection is a long-term process that needs to be adjusted to the emergency. Thus, performance evaluation for the data collection model is also necessary. The method can evaluate the performance bottleneck in the network according to the model, analyze the importance degree of the nodes and the importance of the links, further adjust the network structure according to the evaluation result, such as backup of important nodes, set up a supervision scheme for the important nodes and the like.
Therefore, a model simulation experiment device based on a wireless sensor network is needed to improve the above problems.
Disclosure of Invention
The invention aims to provide a model simulation experiment device based on a wireless sensor network, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a model simulation experiment device based on a wireless sensor network comprises a wireless network sensor, a data collection router and a model simulation experiment computer based on OPNET, wherein the wireless network sensor comprises a control module, a sensor module, a GPS positioning module, a storage module and a network sensor wireless communication module, the data collection router comprises a central processing unit, a data classification compression module, a data classification storage module, a data classification processing module and a data transmission module, the model simulation experiment computer based on OPNET comprises an OPNET simulation platform and a data collection performance evaluation and feedback module, performance bottlenecks in the network can be evaluated according to a model, importance degrees of nodes and importance of links are analyzed, a network structure, such as a backup important node, is adjusted according to an evaluation result, and a supervision scheme is set for the important node, further optimization of the model can be performed.
As a preferable scheme of the present invention, the network sensor wireless communication module includes a network sensor wireless communication module and a network sensor wireless transmission module.
As a preferred scheme of the present invention, the data transmission module includes a data transmission module and a data reception module.
As a preferred scheme of the present invention, the control module is electrically connected to the sensor module, the GPS positioning module, the storage module, and the network sensor wireless communication module, and the central processing unit is electrically connected to the data classification compression module, the data classification storage module, the data classification processing module, and the data transmission module.
As a preferred scheme of the present invention, the wireless network sensor is used for node deployment and cluster clustering, the area is divided, the wireless network sensor is installed in the area, multiple sensors are arranged in a sensor module of the wireless network sensor in the area, the multiple sensors form a cluster or cluster, the sensor in the sensor module interacts with the external environment where the sensor module is located, the temperature, humidity, and the like of the environment in the area are further monitored, data monitored by the data are transmitted to the control module in real time, the control module receives the data, stores the data in the storage module, acquires and stores position information through the GPS positioning module, and the environment in the area can be collected in real time to provide a real-time data source for a simulation experiment.
As a preferred aspect of the present invention, the data collection router is used for collecting data.
As a preferred scheme of the present invention, the OPNET simulation platform is used for model embedding, flow integration, data input and joint deduction, the joint deduction needs to construct each branch of the system model hierarchically and step-by-step from the overall architecture of the system, and seamless adhesion between the branch flows is realized, the simulation system based on the OPNET platform needs to embed the model of each branch algorithm for realization, and simultaneously performs unified integration on the flows of the system, and the input data source needs to consider the public data set and also needs to fuse the data actually acquired by the wireless communication network, so that the joint deduction model of the entire system is uniformly designed, and the overall flow of the simulation model is realized on the unified platform.
As a preferred scheme of the invention, the data collection performance evaluation and feedback module is used for performance evaluation, a data collection system constructed based on a target model is provided, the evaluation index of the data collection system covers an internal index and an external index, the internal index comprises performance indexes such as throughput, data transmission time, bandwidth consumption and network service life and the like in the system, the external index needs to be evaluated from the stability, robustness and operability and the like of model construction, the survivability, fault tolerance and the like of the network model are covered, the model is guided to be continuously strengthened by further feeding back according to the evaluation result, when a network sensor wireless receiving module receives a data collection signal, the signal is transmitted to a control module, the control module transmits the stored data to a data collection router through the network sensor wireless transmitting module, after the data collection router receives the data through the data receiving module, the data are transmitted to a central processing unit, the central processing unit receives the data and carries out classification processing through a data classification processing module, the classified data are classified and stored, when a user needs to obtain the data, the data are transmitted to the user through a data transmitting module, the user can input the data into a model simulation experiment computer based on OPNET after obtaining the data, the data can be collected and stored, meanwhile, the data of different types can be classified and stored, and the data input of subsequent experiments is facilitated.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, through the arranged wireless network sensor, the data collection router and the model simulation experiment calculation base based on the OPNET, the performance bottleneck in the network can be evaluated according to the model, the importance degree of the nodes and the importance of the link can be analyzed, the network structure, such as the backup important nodes, can be adjusted according to the evaluation result, a supervision scheme is set for the important nodes, and the model can be further optimized.
2. According to the invention, through the arranged wireless network sensors, the area is divided firstly, then the wireless network sensors are installed in the area, a plurality of sensors are arranged in a sensor module of the wireless network sensors in the area, the plurality of sensors form a cluster or cluster, the sensors in the sensor module interact with the external environment where the sensors are located, the temperature, the humidity and the like of the environment in the area are further monitored, the data monitored by the data are transmitted to a control module in real time, the control module receives the data and stores the data in a storage module, the position information is acquired and stored through a GPS positioning module, and the environment in the area can be collected in real time to provide a real-time data source for a simulation experiment.
3. In the invention, through the arranged data collection router, when the network sensor wireless receiving module receives a data collection signal, the signal is transmitted to a control module, the control module sends the stored data to a data collection router through a network sensor wireless transmitting module, after the data collection router receives the data through a data receiving module, the data are transmitted to a central processing unit, the central processing unit receives the data and carries out classification processing through a data classification processing module, the classified data are classified and stored, when a user needs to acquire data, the data is transmitted to the user through the data transmitting module, the data can be input into a model simulation experiment computer based on OPNET after the user acquires the data, the data can be collected and stored, meanwhile, different types of data can be classified, processed and stored, and data input of subsequent experiments is facilitated.
Drawings
FIG. 1 is a schematic structural diagram of an experimental apparatus according to the present invention;
FIG. 2 is a schematic diagram of a wireless network sensor according to the present invention;
FIG. 3 is a schematic diagram of a data collection router according to the present invention;
FIG. 4 is a schematic diagram of a computer structure of an OPNET-based model simulation experiment of the present invention;
FIG. 5 is a flow chart of a simulation experiment of the present invention;
FIG. 6 is a flow chart of data source acquisition in accordance with the present invention
FIG. 7 is a diagram of a network sensor data model according to the present invention;
FIG. 8 is an optimized model formula for model solution of key nodes of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without any creative work based on the embodiments of the present invention belong to the protection scope of the present invention.
To facilitate an understanding of the invention, it will now be described more fully with reference to the accompanying drawings. Several embodiments of the invention are presented. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1-8, the present invention provides a technical solution:
The working principle is as follows: a model simulation experiment device experiment process based on a wireless sensor network comprises the following steps:
1. constructing a model: starting from the overall architecture of the system, each branch of the system model is constructed in a layered and step-by-step manner, and seamless adhesion among branch flows is realized;
2. embedding a model: embedding each branch of the constructed model into a simulation system of the OPNET platform;
3. integrating the processes: integrating the process of the model systematically;
4. data input: the input data source considers the public data source and simultaneously fuses the data source which is actually acquired by the wireless communication network, the acquisition of the data source comprises the deployment of nodes, cluster clustering and data collection, the area is divided firstly, then the wireless network sensor is installed in the area, a plurality of sensors are arranged in a sensor module of the wireless network sensor in the area, the plurality of sensors form a cluster or a cluster, the sensors in the sensor module interact with the external environment where the sensors are located, the temperature, the humidity and the like of the environment in the area are further monitored, the data monitored by the data are transmitted to a control module in real time, the control module receives the data and stores the data in a storage module, the GPS positioning module obtains position information and stores the position information, and when the wireless receiving module of the network sensor receives a data collecting signal, the signal is transmitted to the control module, the control module sends the stored data to the data collection router through the network sensor wireless transmission module, the data collection router receives the data through the data receiving module and then transmits the data to the central processing unit, the central processing unit receives the data and carries out classification processing through the data classification processing module, the classified data are classified and stored, when a user needs to obtain the data, the data are sent to the user through the data transmission module, and the user can input the data into a model simulation experiment computer based on OPNET after obtaining the data;
5. joint deduction: after data is input, performing real-object and semi-real-object simulation joint deduction of the model on an OPNET simulation platform;
6. performance evaluation: after the deduction is finished, the data collection performance overall evaluation and feedback module evaluates internal indexes and external indexes in the model deduction process, wherein the internal indexes comprise performance indexes inside the system, such as throughput, data transmission time, bandwidth consumption, network service life and the like, and the outdoor non-indexes comprise stability, robustness, operability and the like of model construction, so that the damage resistance, fault tolerance and the like of the network model are covered, and the model is guided to be continuously strengthened by further feeding back according to an evaluation result.
Embodiment 3, referring to fig. 7 and 8, a data collection model of a wireless sensor network is based on a clustering or clustering idea, and an optimization theory is used to solve the modeled data collection model, which is a starting point for combining the optimization theory and an actual problem. However, the long-time data collection is that the node suddenly fails or stops working due to other factors. The fault tolerance and robustness of the network is then an important consideration. Data collection is a long-term process that needs to be adjusted to the emergency. Thus, performance evaluation for the data collection model is also necessary. The method can evaluate the performance bottleneck in the network according to the model, analyze the importance degree of the nodes and the importance of the links, further adjust the network structure according to the evaluation result, such as backup of important nodes, set up a supervision scheme for the important nodes and the like. According to the project, a model for solving key nodes or key links in an optimization theory is introduced into a data collection network of a wireless sensor network, so that the fault tolerance and the robustness of the network are enhanced.
The existence of node v in the model is crucial to be derived in fig. 7, and once the node fails, data collection cannot continue because it disappears. Thus, the evaluation of the model is a critical problem, and the core of the problem is: the constructed network model requires as few key nodes as possible. On the other hand, the same data collection problem, by the time the first node fails, the critical links present in the network should be minimal. By using the CNP problem in the optimization theory, the key nodes in the network can be obtained, so that the network model can be modified or supplemented according to the solution obtained by different models, and the data collection capability can be maximized. The following formula gives the optimization model of the model for solving the key nodes.
C in FIG. 8iIs a divided cluster or cluster, and ncThe number of nodes in the cluster or cluster, and K is the number of key nodes solved. Based on the optimization model, key nodes can be solved according to algorithms such as tabu search, local search, simulated annealing, variable neighborhood search and the like. According to the result, the network model is adjusted to prolong the life cycle of the network, prolong the service life of the network and maximize the benefit of network collection
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a model simulation experiment device based on wireless sensor network, includes wireless sensor, data collection router and model simulation experiment computer based on OPNET, its characterized in that: the wireless network sensor comprises a control module, a sensor module, a GPS positioning module, a storage module and a network sensor wireless communication module, the data collection router comprises a central processing unit, a data classification compression module, a data classification storage module, a data classification processing module and a data transmission module, and the model simulation experiment computer based on the OPNET comprises an OPNET simulation platform and a data collection performance evaluation and feedback module.
2. The model simulation experiment device based on the wireless sensor network, according to claim 1, is characterized in that: the network sensor wireless communication module comprises a network sensor wireless communication module and a network sensor wireless transmitting module.
3. The model simulation experiment device based on the wireless sensor network as claimed in claim 1, wherein: the data transmission module comprises a data transmitting module and a data receiving module.
4. The model simulation experiment device based on the wireless sensor network as claimed in claim 1, wherein: the control module is respectively and electrically connected with the sensor module, the GPS positioning module, the storage module and the network sensor wireless communication module, and the central processing unit is respectively and electrically connected with the data classification compression module, the data classification storage module, the data classification processing module and the data transmission module.
5. The model simulation experiment device based on the wireless sensor network, according to claim 1, is characterized in that: the wireless network sensor is used for node deployment and cluster clustering.
6. The model simulation experiment device based on the wireless sensor network as claimed in claim 1, wherein: the data collection router is used for collecting data.
7. The model simulation experiment device based on the wireless sensor network, according to claim 1, is characterized in that: the OPNET simulation platform is used for model embedding, flow integration, data input and joint deduction, the joint deduction needs to construct each branch of a system model from the whole architecture of the system in a layered and step-by-step mode and realize seamless adhesion among branch flows, the simulation system based on the OPNET platform needs to be embedded into the model of each branch algorithm and simultaneously integrates the flows of the system in a unified mode, an input data source needs to consider a public data set and simultaneously fuse data acquired by a wireless communication network, and therefore the joint deduction model of the whole system is designed in a unified mode, and the whole flow of the simulation model is realized on the unified platform.
8. The model simulation experiment device based on the wireless sensor network as claimed in claim 1, wherein: the data collection performance evaluation and feedback module is used for performance evaluation, a data collection system constructed based on a target model is provided with evaluation indexes covering internal indexes and external indexes, the internal indexes comprise performance indexes such as throughput, data transmission time, bandwidth consumption and network service life and the like in the system, the external indexes are evaluated from stability, robustness and operability and the like of model construction, the survivability and fault tolerance of the network model are covered, and the model is guided to be continuously strengthened by further feeding back according to an evaluation result.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115277449A (en) * | 2022-07-27 | 2022-11-01 | 中国人民解放军国防科技大学 | OPNET-based heaven-earth integrated network route simulation method and application |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115277449A (en) * | 2022-07-27 | 2022-11-01 | 中国人民解放军国防科技大学 | OPNET-based heaven-earth integrated network route simulation method and application |
| CN115277449B (en) * | 2022-07-27 | 2024-03-15 | 中国人民解放军国防科技大学 | Space-earth integrated network route simulation method based on OPNET and application |
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