文章基本信息

标题：The WSN Coverage Optimization of the Diversified AFSABased on ChaosLearning Strategy
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作者：Yongqiang Li ; PanJin
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2014
卷号：9
期号：8
页码：241-250
DOI：10.14257/ijmue.2014.9.8.21
出版社：SERSC
摘要：WSN coverage optimization is an important problem. Considering that the artificial fish algorithm is easy to fall into local optimum and of slow convergence, an improved algorithm has been proposed in this paper. The chaos strategy is used to carry out the initialization of the foraging behavior, which makes the fish swarm evenly distributed in space, to avoid the randomness of the initialized individual. At the same time, the concept of diversity is introduced in the swarm behavior, which makes its avoidance of congestion further improved. Through standard test functions and simulated network coverage testing, the algorithm presented in this paper improves the WSN network node coverage, which effectively reduces the network cost and further improves the network coverage optimization.
关键词：chaos;AFSA; diversity; wireless sensing