CN107040409B - Wireless sensor network routing protocol recommendation system - Google Patents
Wireless sensor network routing protocol recommendation system Download PDFInfo
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- CN107040409B CN107040409B CN201710181621.8A CN201710181621A CN107040409B CN 107040409 B CN107040409 B CN 107040409B CN 201710181621 A CN201710181621 A CN 201710181621A CN 107040409 B CN107040409 B CN 107040409B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/06—Testing, supervising or monitoring using simulated traffic
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- H—ELECTRICITY
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
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- H—ELECTRICITY
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Abstract
The invention provides a wireless sensor network routing protocol recommendation system, which comprises a simulation system, an evaluation model and an intelligent recommendation terminal, wherein the simulation system is used for simulating a routing protocol of a wireless sensor network; the intelligent recommendation terminal design process comprises the following steps: selecting core parameters of the intelligent recommendation terminal; calculating an optimal routing protocol for a user to select according to the core parameters selected by the user by using the simulation system and the evaluation model; and the user carries out feedback evaluation on the recommended routing protocol, and for the routing protocol which does not meet the requirement, the intelligent recommendation terminal puts the feedback information into a warehouse and analyzes the feedback information, and repeatedly adjusts the simulation system and the evaluation model until the user recommends the satisfied routing protocol. The invention recommends the most appropriate routing protocol for the user, can avoid a large amount of repeated simulation work, and further effectively shortens the design time of the wireless sensor network and reduces the money cost.
Description
Technical Field
The invention relates to the field of communication, in particular to a wireless sensor network routing protocol recommendation system.
Background
The wireless sensor network can sense and transmit the information of the outside world through the sensor. And information is transmitted among the nodes of the wireless sensor network in a wireless mode. The sink node in the wireless sensor network can be connected with the internet, so that data can be transmitted to the user through the internet. The wireless sensor network has been widely applied to a plurality of fields such as military affairs, intelligent transportation, environmental monitoring, medical treatment, health and the like.
The purpose of a wireless sensor routing protocol is to send data packets from a source node (typically a sensing node) to a destination node (typically a sink node), and the design purpose of the wireless sensor routing protocol is mainly to perform two functions: firstly, selecting a proper optimized path, and secondly, correctly forwarding data along the selected path.
Routing protocols can be classified into a flat routing protocol, a layered routing protocol, and a location-based routing protocol according to a network structure of the wireless sensor.
In the planar routing protocol, the network nodes are all equal. The plane routing protocol has the advantages of simple structure, easy expansion and better robustness. The major planar routing protocols include Single-hop, Flooding, and gossip protocols.
Compared with a plane routing protocol, the layered routing protocol is obviously improved in terms of reducing energy consumption and prolonging the life cycle of the network. The most representative hierarchical routing protocol is the LEACH routing protocol. On the basis of the LEACH routing protocol, researchers put forward a layered routing protocol such as TEEN, Quadrature-LEACH and FLCRP.
Nodes in a location-based routing protocol are all pre-known to the location of other nodes in the network. Under this premise, the nodes can perform relevant routing. The main location-based routing protocols include the NC, NFP and GPSR protocols.
When a user arranges the wireless sensor network nodes, the number and the positions of the arranged nodes are generally determined according to the field situation, the electricity storage amount of the sensor, the sensor cost, the fund budget and other factors, and the most appropriate routing protocol is selected for the nodes.
How to recommend the most appropriate routing protocol for the user is a problem to be solved urgently at present.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a wireless sensor network routing protocol recommendation system which recommends the most appropriate routing protocol for users.
The technical scheme of the invention is realized as follows:
a wireless sensor network routing protocol recommendation system comprises a simulation system, an evaluation model and an intelligent recommendation terminal;
the intelligent recommendation terminal design process comprises the following steps:
step (11), selecting core parameters of the intelligent recommendation terminal;
step (12), according to the core parameters selected by the user, calculating an optimal routing protocol for the user to select by using a simulation system and an evaluation model;
step (13), the user carries out feedback evaluation on the recommended routing protocol, for the routing protocol which does not meet the requirement, the intelligent recommendation terminal puts feedback information into a warehouse and analyzes the feedback information, and repeatedly adjusts the simulation system and the evaluation model until the user recommends a satisfactory routing protocol;
the simulation system specifically comprises: in a fixed simulation area, a certain number of sensors are randomly arranged, and a sink node is positioned in the center of the simulation area; the signal source fixedly sends out signals which are enough to be transmitted to any position in the simulation area every second; the sensor performs routing according to a routing protocol, and finally data are transmitted to a sink node or lost in the midway or data fusion is performed; in the process, the evaluation parameters are adjusted in a single-factor variable mode to observe the change of the network life cycle and the reliability, and then the influence of the evaluation parameters on the network life cycle and the reliability is analyzed; performing mathematical modeling after analysis to obtain an evaluation model;
the process of establishing the evaluation model specifically comprises the following steps:
selecting an evaluation parameter as a measurement parameter, and defining the selected evaluation parameter according to the experimental requirement and the self characteristic of the routing protocol;
step (22) selecting a routing protocol;
step (23) selecting a simulation tool, and performing a simulation experiment in the simulation tool to obtain a simulation result;
step (24) carrying out comprehensive analysis by collecting data, and establishing an evaluation model;
step (25) judging whether the evaluation model has deviation, if so, turning to step (26), otherwise, turning to step (27);
step (26) judging whether the evaluation parameters have problems, if so, turning to step (21), otherwise, turning to step (23);
and (27) comparing the model with a routing protocol evaluation model which is already realized by the same type, if the model is better than the existing model, finishing the evaluation model, and otherwise, if the model is worse than the existing model, turning to the step (26).
Optionally, the evaluation parameter comprises: network life cycle, node energy consumption, network delay, accuracy, network coverage, transmission radius, network throughput and node density.
Optionally, the simulation tool comprises any one of J-Sim, NS2, and Omnet + +.
The invention has the beneficial effects that:
(1) the most appropriate routing protocol is recommended for the user, so that a large amount of repeated simulation work can be avoided;
(2) the design time of the wireless sensor network is effectively shortened, and the money cost is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the design of an intelligent recommendation terminal of the present invention;
FIG. 2 is a flow chart for establishing an evaluation model.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in 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, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The wireless sensor network routing protocol recommendation system comprises a simulation system, an evaluation model and an intelligent recommendation terminal.
As shown in fig. 1, the intelligent recommendation terminal design process includes:
selecting parameters such as transmission radius, reliability coefficient, life cycle and the like as core parameters of the intelligent recommendation terminal;
step (12), according to parameters such as transmission radius, reliability coefficient and life cycle selected by a user, calculating an optimal routing protocol for the user to select by using a simulation system and an evaluation model;
and (13) the user performs feedback evaluation on the recommended routing protocol, for the routing protocol which does not meet the requirement, the intelligent recommendation terminal stores the feedback information in a warehouse and analyzes the feedback information, and repeatedly adjusts the simulation technology and the evaluation model until the user recommends a satisfactory routing protocol.
The simulation system specifically includes: in a fixed simulation area, a certain number of sensors are randomly arranged, and a sink node is positioned in the center of the simulation area; the signal source fixedly sends out signals which are enough to be transmitted to any position in the simulation area every second; the sensor performs routing according to a routing protocol, and finally data are transmitted to a sink node or lost in the middle or subjected to data fusion; in the process, the change of the network life cycle and the reliability is observed in a mode of adjusting the total node number or the sensor transmission radius or other parameters in a single-factor variable mode, and then the influence of the node number or the sensor transmission radius or other parameters on the network life cycle and the reliability is analyzed; after the analysis, corresponding mathematical modeling is carried out to obtain a corresponding evaluation model.
The process of establishing the evaluation model, as shown in fig. 2, specifically includes the following steps:
selecting evaluation parameters (such as network life cycle, node energy consumption, network delay, accuracy, network coverage, transmission radius, network throughput, node density and the like) as measurement parameters, and defining the selected parameters according to experimental requirements and the characteristics of a routing protocol;
step (22) selecting 3-4 representative routing protocols;
selecting simulation tools (such as J-Sim, NS2, Omnet + + and the like) and carrying out simulation experiments in the simulation tools to obtain simulation results;
step (24) carrying out comprehensive analysis by collecting data, and establishing an evaluation model;
step (25) judging whether the evaluation model obtained through the characteristics of the protocol and the mathematical tool has deviation, if so, turning to step (26), otherwise, turning to step (27);
step (26) judging whether the evaluation parameters have problems, if so, turning to step (21), otherwise, turning to step (23);
and (27) comparing the model with a routing protocol evaluation model which is already realized by the same type, if the model is better than the existing model, finishing the evaluation model, and otherwise, if the model is worse than the existing model, turning to the step (26).
The invention researches a typical plane routing protocol Single-hop, a layered routing protocol LEACH and a wireless sensor network routing protocol except a location-based routing protocol nerest clock and establishes a corresponding routing protocol evaluation model, and on the basis, a newly obtained evaluation model is compared and analyzed with the existing evaluation model of the same type, thereby recommending the most appropriate routing protocol for a user, avoiding a large amount of repeated simulation work, further effectively shortening the design time of a wireless sensor network and reducing the money cost.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (3)
1. A wireless sensor network routing protocol recommendation system is characterized by comprising a simulation system, an evaluation model and an intelligent recommendation terminal;
the intelligent recommendation terminal design process comprises the following steps:
step (11), selecting core parameters of the intelligent recommendation terminal;
step (12), according to the core parameters selected by the user, calculating an optimal routing protocol for the user to select by using a simulation system and an evaluation model;
step (13), the user carries out feedback evaluation on the recommended routing protocol, for the routing protocol which does not meet the requirement, the intelligent recommendation terminal puts feedback information into a warehouse and analyzes the feedback information, and repeatedly adjusts the simulation system and the evaluation model until the user recommends a satisfactory routing protocol;
the simulation system specifically comprises: in a fixed simulation area, a certain number of sensors are randomly arranged, and a sink node is positioned in the center of the simulation area; the signal source fixedly sends out signals which are enough to be transmitted to any position in the simulation area every second; the sensor performs routing according to a routing protocol, and finally data are transmitted to a sink node or lost in the midway or data fusion is performed; in the process, the evaluation parameters are adjusted in a single-factor variable mode to observe the change of the network life cycle and the reliability, and then the influence of the evaluation parameters on the network life cycle and the reliability is analyzed; performing mathematical modeling after analysis to obtain an evaluation model;
the establishing process of the evaluation model specifically comprises the following steps:
step (21), selecting an evaluation parameter as a measurement parameter, and defining the selected evaluation parameter according to the experimental requirement and the self characteristic of the routing protocol;
step (22), selecting a routing protocol;
step (23), selecting a simulation tool, and performing a simulation experiment in the simulation tool to obtain a simulation result;
step (24), carrying out comprehensive analysis by collecting data, and establishing an evaluation model;
step (25), judging whether the evaluation model has deviation, if so, turning to step (26), otherwise, turning to step (27);
step (26), judging whether the evaluation parameters have problems, if so, turning to step (21), otherwise, turning to step (23);
and (27) comparing the model with a routing protocol evaluation model which is already realized by the same type, if the model is better than the existing model, finishing the evaluation model, and otherwise, if the model is worse than the existing model, turning to the step (26).
2. The wireless sensor network routing protocol recommendation system of claim 1, wherein the evaluation parameter comprises: network life cycle, node energy consumption, network delay, accuracy, network coverage, transmission radius, network throughput and node density.
3. The wireless sensor network routing protocol recommendation system of claim 1, wherein the simulation tool comprises any one of J-Sim, NS2, and omninet + +.
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| CN103648142A (en) * | 2013-12-03 | 2014-03-19 | 南通大学 | Wireless sensor network routing method based on self-recommendation credit evaluation |
| CN104202787A (en) * | 2014-09-10 | 2014-12-10 | 西安电子科技大学 | Optimum redundancy based adaptive wireless sensor network routing method |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2005010214A3 (en) * | 2003-07-17 | 2005-04-07 | Sensicast Systems Inc | Method and apparatus for communication in a mesh-type wireless sensor network |
| CN103648142A (en) * | 2013-12-03 | 2014-03-19 | 南通大学 | Wireless sensor network routing method based on self-recommendation credit evaluation |
| CN104202787A (en) * | 2014-09-10 | 2014-12-10 | 西安电子科技大学 | Optimum redundancy based adaptive wireless sensor network routing method |
Non-Patent Citations (1)
| Title |
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| 无线传感器网络通信与路由研究;肖军等;《电脑知识与技术》;20080625(第18期);1621-1623 * |
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