Paper Title:
A Novel Stochastic Localization Algorithm for Sensor Nodes in Wireless Sensor Networks
  Abstract

Most of the proposed algorithms focus on static networks of sensors with either static or mobile anchors, in which the Monte Carlo localization algorithm is a typical one for localizing nodes in a mobile wireless sensor network. But the radio range being all different or inconstant in this algorithm leads to reduce the accuracy of localization and the efficiency of the algorithm itself. In this article, we propose the novel rang-based stochastic Monte Carlo localization algorithm for wireless sensor networks specifically designed with mobility to improve the accuracy of localization by dealing with the different radio ranges of sensors, and being bound to the narrow sampling area. Our simulation experimental results show that the rang-based stochastic Monte Carlo localization algorithm has improved the accuracy and stability of the estimated locations.

  Info
Periodical
Edited by
Yuanzhi Wang
Pages
510-516
DOI
10.4028/www.scientific.net/AMM.39.510
Citation
M. Wang, S. J. Bai, H. B. Wang, "A Novel Stochastic Localization Algorithm for Sensor Nodes in Wireless Sensor Networks", Applied Mechanics and Materials, Vol. 39, pp. 510-516, 2011
Online since
November 2010
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