Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 628-631.doi: 10.11896/jsjkx.210500037

• Computer Network • Previous Articles     Next Articles

Coverage Optimization of WSN Based on Improved Grey Wolf Optimizer

FAN Xing-ze, YU Mei   

  1. School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:FAN Xing-ze,born in 1999,undergra-duate.His main research interests include multi-agent system and networked control system.
    YU Mei,born in 1975,Ph.D,associate professor.Her main research interests include optimal control and artificial intelligence.

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Abstract: How to use mobile nodes to maximize coverage and reduce energy consumption is an important direction in the research of wireless sensor networks.A grey wolf optimization(GWO) algorithm is proposed to solve the coverage problem of wireless sensor network by using the improved Levy flight strategy and the energy position fusion mechanism based on the circle mapping.Simulation results show that the improved GWO without considering energy has higher convergence speed and bigger coverage rate than the basic GWO and other related algorithms.After considering the energy,the coverage can still be guaranteed and the node life can be extended.

Key words: Coverage optimization, Energy-position fusion, Grey wolf optimizer, Levy flight, Wireless sensor network

CLC Number: 

  • TP393.0
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