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Open AccessArticle

Adapting Mobile Beacon-Assisted Localization in Wireless Sensor Networks

College of Computer Science, Zhejiang University, Hangzhou 310027, P.R. China
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Sensors 2009, 9(4), 2760-2779; https://doi.org/10.3390/s90402760
Received: 26 March 2009 / Revised: 14 April 2009 / Accepted: 16 April 2009 / Published: 20 April 2009
(This article belongs to the Special Issue Wireless Sensor Technologies and Applications)
The ability to automatically locate sensor nodes is essential in many Wireless Sensor Network (WSN) applications. To reduce the number of beacons, many mobile-assisted approaches have been proposed. Current mobile-assisted approaches for localization require special hardware or belong to centralized localization algorithms involving some deterministic approaches due to the fact that they explicitly consider the impreciseness of location estimates. In this paper, we first propose a range-free, distributed and probabilistic Mobile Beacon-assisted Localization (MBL) approach for static WSNs. Then, we propose another approach based on MBL, called Adapting MBL (A-MBL), to increase the efficiency and accuracy of MBL by adapting the size of sample sets and the parameter of the dynamic model during the estimation process. Evaluation results show that the accuracy of MBL and A-MBL outperform both Mobile and Static sensor network Localization (MSL) and Arrival and Departure Overlap (ADO) when both of them use only a single mobile beacon for localization in static WSNs. View Full-Text
Keywords: Wireless Sensor Networks (WSNs); Localization; Mobile Beacon-assisted Localization (MBL); Adapting Mobile Beacon-assisted Localization (A-MBL); Particle filter Wireless Sensor Networks (WSNs); Localization; Mobile Beacon-assisted Localization (MBL); Adapting Mobile Beacon-assisted Localization (A-MBL); Particle filter
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MDPI and ACS Style

Teng, G.; Zheng, K.; Dong, W. Adapting Mobile Beacon-Assisted Localization in Wireless Sensor Networks. Sensors 2009, 9, 2760-2779.

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