A Coverage Enhancement Method of Directional Sensor Network Based on Genetic Algorithm for Occlusion-Free Surveillance
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.
Wireless Directional Sensor Networks OcclusionFree Surveillance Coverage Enhancement
Yibo Jiang Jinwei Yang Weijie Chen Wanliang Wang
College of Computer Science and Technology Zhejiang University of Technology, ZJUT Hangzhou, P.R.Chi College of Information Engineering Zhejiang University of Technology, ZJUT Hangzhou, P.R.China
国际会议
International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)
太原
英文
311-314
2010-09-26（万方平台首次上网日期，不代表论文的发表时间）