文章基本信息

标题：Modified Particle Swarm Optimization for Hybrid Wireless Sensor Networks Coverage
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作者：Cheng, Bing
期刊名称：Journal of Networks
印刷版ISSN：1796-2056
出版年度：2014
卷号：9
期号：1
页码：56-62
DOI：10.4304/jnw.9.01.56-62
语种：English
出版社：Academy Publisher
摘要：Efficient network coverage and connectivity are the requisites for most Wireless Sensor Network deployments, particularly those concerned with area monitoring. The Coverage Control Technology is one of the basic technologies of wireless sensor network, and is mainly concerned about how to prolong the network lifetime on the basis of meeting users’ perception demand. To optimize wireless sensor networks coverage, an algorithm which is based on particle swarm optimization with dynamic clonal selection is proposed. This algorithm controls the clonal quantity and variation range of particle which represents the locations of all mobile sensor nodes, by coverage rate and similarity among the swarm to avoiding being trapped in local optimum. By comparison of the simulation results with other algorithms, this optimization algorithm could improve the performance of network coverage more effectively.
关键词：Particle Swarm Optimization;Dynamic Clonal Selection;Hybrid Wireless Sensor Networks;Coverage