A Coverage Enhancement Method of Directional Sensor Network Based on Genetic Algorithm for Occlusion-Free Surveillance

  • Authors:

  • Yibo Jiang;Jinwei Yang;Weijie Chen;Wanliang Wang

  • Affiliations:

  • -;-;-;-

  • Venue:
  • CASON '10 Proceedings of the 2010 International Conference on Computational Aspects of Social Networks
  • Year:
  • 2010

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Abstract

Coverage enhancement is one of the hot research topics in area surveillance using wireless sensor network. In this paper, the characteristics of coverage model for directional sensor networks are analyzed, and the prototype of view orientation of wireless sensor node in surveillance area with obstacles is discussed. Then, the concept of weighted coverage modal with different weight is provided, and a novel coverage optimizing algorithm based on genetic algorithm for occlusion-free surveillance model is proposed. The dynamic optimization process is constructed for adapting the real-time changing and a discrete model of sub-regions is presented for simplifying calculation. The result of experiment show that the proposed method can optimize the coverage rate of occlusion-free surveillance in wireless directional sensor network, and make coverage rate more stable when obstacles are increased.