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  • 标题:The WSN Coverage Optimization of the Diversified AFSABased on ChaosLearning Strategy
  • 本地全文:下载
  • 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
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