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Intelligent Integrated Coverage Control Based On Wireless Sensor Networks Algorithms

Posted on:2018-08-03Degree:MasterType:Thesis
Country:ChinaCandidate:F GaoFull Text:PDF
GTID:2348330542461859Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Wireless sensor network(WSNs)has great application prospect in the future information communication networ,but due to disperse the nodes,random network,the coverage problem of WSNs become a research focus and difficulty in this field,has become an important bottleneck in the development of WSNs.Research on WSNs technology especially the coverage control technology,to promote WSNs in all fields should have very important significance.Based on the WSNs difference technology from common network as a starting point,combined with the reality factor of wireless sensor networks may experience the natural environment,the existing node resources,analysis of the current network of wireless sensor network coverage control problems,and aimed at these questions to propose a coverage control algorithm structure and the algorithm of information entropy WSNs based on the.The algorithm mainly covers the integrated intelligent control model and the model of two parts.Firstly,after analyzing the coverage problem in wireless sensor networks,the wireless sensor network,network lifetime,connected to the rate of three aspects,the intelligent algorithms,covering the process of WSNs were studied by using simulated annealing algorithm and a genetic algorithm to optimize the control,in order to improve performance,operator and operation of the simulated annealing algorithm and genetic algorithm to a targeted transformation.Secondly,the single model in the WSNs problem of coverage control deficiencies,proposed an integrated coverage control algorithm based on information entropy theory.The integrated ability of using information entropy algorithm,simulated annealing WSNs coverage control model,genetic algorithm WSNs coverage control model based on weight combination,realize the comprehensive promotion of coverage control algorithm adaptability and performance.Finally,the information entropy of WSNs integrated coverage control simulation platform and based on the setting of parameters,and from the three aspects of coverage rate,average energy consumption,the lifetime of the network is analyzed and compared with simulation results.
Keywords/Search Tags:Wireless sensor network, Coverage control, simulated annealing, Genetic algorithm, information entropy
PDF Full Text Request
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