Authors: Xinrong Li
Addresses: Department of Electrical Engineering, University of North Texas, 1155 Union Circle #310470, Denton, TX 76203, USA
Abstract: Sensor localisation and tracking is an important research topic in sensor networks. Collaboration of resource-constrained sensor nodes is extremely important to achieving substantial sensing and processing capability in the aggregate and to providing collectively reliable network behaviour in mission-critical applications. We propose a collaborative multi-sensor tracking (CMST) method for sensor networks and demonstrate through posterior Cramer-Rao bound (PCRB) analysis that sensors| mobility and collaboration can be exploited to significantly improve sensor localisation performance. We also propose a novel adaptive particle filtering algorithm AP-RPF and demonstrate its superior performance through simulation results.
Keywords: Bayesian estimation; sensor localisation; particle filter; sensor tracking; wireless sensor networks; mobile WSNs; wireless networks; resource constraints; collaborative tracking; multi-sensor tracking; simulation; sensor mobility; sensor collaboration.
International Journal of Sensor Networks, 2010 Vol.8 No.3/4, pp.233 - 246
Available online: 27 Oct 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article