Pattern mutation in wireless sensor deployment

  • Authors:
  • Xiaole Bai;Ziqiu Yun;Dong Xuan;Weijia Jia;Wei Zhao

  • Affiliations:
  • Dept of CSE, The Ohio State University, Columbus, OH;Dept of Math, Suzhou University, Suzhou, P. R. China;Dept of CSE, The Ohio State University, Columbus, OH;Dept of CS, City University of Hong Kong, Hong Kong, P. R. China;University of Macau, Macau, P. R. China

  • Venue:
  • INFOCOM'10 Proceedings of the 29th conference on Information communications
  • Year:
  • 2010

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Abstract

In this paper, we study the optimal deployment pattern problem in wireless sensor networks (WSNs). We propose a new set of patterns, particularly when sensors' communication range (rc) is relatively small compared with their sensing range (rs), and prove their optimality among regular patterns. In this study, we discover a surprising and interesting phenomenon-- pattern mutation. This phenomenon contradicts the conjecture presented in a previous work that there exists a universal elemental pattern among optimal pattern evolution and that pattern evolution is continuous. For example, we find mutation happens among the patterns for full-coverage and 3-connectivity when rc/rs = 1.0459, among the patterns for full-coverage and 4- connectivity when rc/rs = 1.3903, and among the patterns for full-coverage and 5-connectivity when rc/rs = 1.0406. To the best of our knowledge, this is the first time that mutation in pattern evolution has been discovered. Also, our work further completes the exploration of optimal patterns in WSNs.