Adapting Mobile Beacon-Assisted Localization in Wireless Sensor Networks

Sensors

Guodong Teng¹  Kougen Zheng² 

[1] College of Computer Science, Zhejiang University, Hangzhou 310027, P.R. China;

关键词: Wireless Sensor Networks (WSNs);    Localization;    Mobile Beacon-assisted Localization (MBL);    Adapting Mobile Beacon-assisted Localization (A-MBL);    Particle filter;   

DOI  :  10.3390/s90402760

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2009 by the authors; licensee MDPI, Basel, Switzerland