Optimal coverage configuration with social emotional optimisation algorithm in wireless sensor networks

  • Authors:

  • Zhihua Cui;Xingjuan Cai

  • Affiliations:

  • Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi 030024, China/ State Key Laboratory of Novel Software Technology, Nanjing University, ...;Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi 030024, China

  • Venue:
  • International Journal of Wireless and Mobile Computing
  • Year:
  • 2011

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Abstract

The optimal coverage problem plays an important role in wireless sensor networks. In this paper a new swarm intelligent technique, Social Emotional Optimisation Algorithm (SEOA), is used to solve the problem based on the probability measuring model. In SEOA, each individual represents a virtual person, and selects the behaviour according to the corresponding emotion index in each iteration. Simulation results showed that the effective coverage has reached 99.98%.