期刊名称：TELKOMNIKA (Telecommunication Computing Electronics and Control)
印刷版ISSN：2302-9293
出版年度：2016
卷号：14
期号：2A
页码：274-281
DOI：10.12928/telkomnika.v14i2A.4321
语种：English
出版社：Universitas Ahmad Dahlan
摘要：To improve the coverage rate of wireless sensor network node in the campus and prolong network lifetime, an optimization method for network node coverage based on escape particle swarm algorithm has been proposed on the basis of analyzing defects of basic particle swarm optimization algorithm. Firstly, with network coverage rate as optimization objective, escape particle swarm algorithm is adopted for solving and genetic algorithm crossover mechanism is introduced during the solving process to maintain the diversity of particle swarm and prevent “precocity”. In addition, momentum algorithm is adopted to smooth particle searching path, accelerate convergence rate and finally performance of the algorithm is tested through simulation experiment.
其他摘要：To improve the coverage rate of wireless sensor network node in the campus and prolong network lifetime, an optimization method for network node coverage based on escape particle swarm algorithm has been proposed on the basis of analyzing defects of basic particle swarm optimization algorithm. Firstly, with network coverage rate as optimization objective, escape particle swarm algorithm is adopted for solving and genetic algorithm crossover mechanism is introduced during the solving process to maintain the diversity of particle swarm and prevent “precocity”. In addition, momentum algorithm is adopted to smooth particle searching path, accelerate convergence rate and finally performance of the algorithm is tested through simulation experiment.
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