In:
Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 39 ( 2010-11), p. 510-516
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.
Type of Medium:
Online Resource
ISSN:
1662-7482
DOI:
10.4028/www.scientific.net/AMM.39
DOI:
10.4028/www.scientific.net/AMM.39.510
Language:
Unknown
Publisher:
Trans Tech Publications, Ltd.
Publication Date:
2010
detail.hit.zdb_id:
2251882-4
