A Distributed Node Localization Scheme for Wireless Sensor Networks

  • Authors:
  • Qinqin Shi;Hong Huo;Tao Fang;Deren Li

  • Affiliations:
  • Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China and State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, ...

  • Venue:
  • Wireless Personal Communications: An International Journal
  • Year:
  • 2010

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Abstract

A distributed node localization scheme for wireless sensor networks (WSNs) is presented in this paper, and it includes three generic phases: (1) determine node-beacon distances, (2) compute node positions, and (3) refine the positions. Different from previous researches, we propose an algorithm combination Min---max + LI for the position derivation and SD method for the refinement in our scheme. Simulation shows that our proposed scheme can perform more robust than some representative distributed node localization schemes presented in previous researches in terms of the trade-off among accuracy, coverage, computation cost, and communication overhead.