Journal on Communications ›› 2011, Vol. 32 ›› Issue (8): 118-127.doi: 1000-436X(2011)08-0118-10

• Papers • Previous Articles     Next Articles

Coverage control strategy for directional sensor networks

Jing LI,Ru-chuan WANG,Hai-ping HUANG,Li-juan SUN,Fu XIAO,Ling-yun JIANG   

  1. College of Computer,Nanjing University of Posts and T lecommunications,Nanjing 210003,China
  • Online:2011-08-25 Published:2017-07-04
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;Scientific & Technological Support Project (Industry) of Jiangsu Province;Scientific & Technological Support Project (Industry) of Jiangsu Province;Project Sponsored by Jiangsu Provincial Research Scheme of Natural Science for Higher Educatio Institutions;Project Sponsored by Jiangsu Provincial Research Scheme of Natural Science for Higher Educatio Institutions;Scientific Research &Industry Promotion Project for Higher Education Institutions;Science & Technology Innovation Fund for Higher Education Institutions of Jiangsu Province;Science & Technology Innovation Fund for Higher Education Institutions of Jiangsu Province;Science & Technology Innovation Fund for Higher Education Institutions of Jiangsu Province;The Six Kinds of Top Talent of Jiangsu Province

Abstract:

Aimed at disadvantages on most existing coverage control algorithms for directional sensor networks,such as finite orientations,the restrained degree of optimization,the deficient applicability of these algorithms etc.,a coverage control strategy (CCS) was presented,which was strictly deduced from some mathematic properties.A distributed algorithm generated from the CCS could be extensively used in different kinds of networks with different sensing models.Simulation results and performance analysis illustrate that the CCS can efficiently enhance the coverage of networks and show the certain superiority comparing to existing algorithms of the same kind.

Key words: directional sensor networks, coverage control, sensing model, optimization

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