文章基本信息

标题：WSN Coverage Optimization Strategy Based on Improved Artificial Fish Swarm Algorithm
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作者：Qiang Song ; Lingxia Liu
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：8
页码：191-198
DOI：10.14257/ijsip.2015.8.8.21
出版社：SERSC
摘要：This paper presents a kind of coverage optimization strategy based on improved artificial fish swarm algorithm for wireless sensor networks, by adaptively adjusting the vision range and the step length of artificial fish swarm the accuracy of optimization, convergence speed and stability are improved, then combining with the performance of WSN network coverage, the network coverage can be optimized. The simulation results show that comparing to the basic artificial fish swarm algorithm, the network coverage ratio of improved artificial fish swarm algorithm improves 17%.
关键词：W ; ireless sensor network; fish swarm algorithm; coverage optimization