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MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks

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  • Guodong Teng
  • Kougen Zheng
  • Wei Dong

Abstract

As many Wireless Sensor Networks (WSNs) applications require sensor position information, localization has been an important problem in WSNs. To reduce the number of seeds, a number of mobile-assisted approaches have been proposed. Current proposed mobile-assisted approaches for localization require special hardware or face route selection problem, however. In this paper, we propose a Mobile-Assisted Monte Carlo Localization (MA-MCL) for WSNs. Our approach relies on direct arriver and leaver information from a single mobile-assisted seed. It does not require any specially designed hardware due to the range-free technique, and the single mobile-assisted seed in our approach can move uncontrollably to avoid route selection problem based on Monte Carlo method. Evaluation results show that the accuracy of MA-MCL outperforms MSL*, MSL, and ADO when all of them use only a mobile seed for localization in the static sensor networks.

Suggested Citation

  • Guodong Teng & Kougen Zheng & Wei Dong, 2011. "MA-MCL: Mobile-Assisted Monte Carlo Localization for Wireless Sensor Networks," International Journal of Distributed Sensor Networks, , vol. 7(1), pages 671814-6718, June.
    • Handle: RePEc:sae:intdis:v:7:y:2011:i:1:p:671814
    DOI: 10.1155/2011/671814
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