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Monte Carlo localization of wireless sensor networks with a single mobile beacon
2008
Wireless networks
One of the most important tasks in sensor networks is to determine the physical location of sensory nodes as they may not all be equipped with GPS receivers. In this paper we propose a localization method for wireless sensor networks (WSNs) using a single mobile beacon. The sensor locations are maintained as probability distributions that are sequentially updated using Monte Carlo sampling as the mobile beacon moves over the deployment area. Our method relieves much of the localization tasks
doi:10.1007/s11276-008-0096-3
fatcat:ssqrvfn4znglldusnqh555aopq