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A distributed adaptive local searching algorithm for wireless sensor network localization

Author

Listed:
  • Oscar Osvaldo Saldaña Hernández
  • Juan Cota-Ruiz
  • Rafael Gonzalez-Landaeta
  • Ernesto Sifuentes

Abstract

The location of sensors represents a relevant attribute in wireless sensor networks. In this article, we propose a distributed range-based localization algorithm for wireless sensor network. The algorithm is mainly based on an adaptively local circular searching area where each unknown sensor must find inside a position that minimizes the error distance with neighboring sensors using a local function. The new position of a sensor is broadcast to neighboring sensors allowing collaboratively to other sensors re-estimate their new positions. The iterative process is repeated until a stopping criterion is reached. The performance of the proposed algorithm is evaluated and compared with other state-of-the-art algorithms, and results indicate that the approach overcomes the other methods in both accuracy and time of convergence.

Suggested Citation

  • Oscar Osvaldo Saldaña Hernández & Juan Cota-Ruiz & Rafael Gonzalez-Landaeta & Ernesto Sifuentes, 2016. "A distributed adaptive local searching algorithm for wireless sensor network localization," International Journal of Distributed Sensor Networks, , vol. 12(10), pages 15501477166, October.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:10:p:1550147716669624
    DOI: 10.1177/1550147716669624
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    References listed on IDEAS

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    1. Yan Huang & Jianying Zheng & Yang Xiao & Miao Peng, 2015. "Robust Localization Algorithm Based on the RSSI Ranging Scope," International Journal of Distributed Sensor Networks, , vol. 11(2), pages 587318-5873, February.
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