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A RSSI-Based Distributed Weighted Search Localization Algorithm for WSNs

Author

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  • Yingbiao Yao
  • Qi Han
  • Xiaorong Xu
  • Nanlan Jiang

Abstract

In order to solve the node localization problem in wireless sensor networks, we propose a novel distributed weighted search localization algorithm (WSLA) in this paper. The WSLA adopts a modified received signal strength indicator-based range model to estimate the distances between nodes, utilizes the results of a centroid localization algorithm as the search initial point, and employs a new weighted search method to compute the positions of nodes in a distributed and recursive manner. The key ideas of the WSLA include a node localization precision classification scheme, a processing scheme for special nodes, and weight-based searches. Compared with three state-of-art localization algorithms—namely, maximum likelihood estimation (MLE), edge-based second-order cone programming + nonconvex sequential greedy (ESOCP + NCSG), and particle swarm optimization (PSO)—the simulation results show that localization performance of the WSLA is superior to that of MLE, ESOCP + NCSG, and PSO.

Suggested Citation

  • Yingbiao Yao & Qi Han & Xiaorong Xu & Nanlan Jiang, 2015. "A RSSI-Based Distributed Weighted Search Localization Algorithm for WSNs," International Journal of Distributed Sensor Networks, , vol. 11(4), pages 293403-2934, April.
    • Handle: RePEc:sae:intdis:v:11:y:2015:i:4:p:293403
    DOI: 10.1155/2015/293403
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