Mobile-Beacon Assisted Sensor Localization with Dynamic Beacon Mobility Scheduling

Abstract : In mobile-beacon assisted sensor localization, beacon mobility scheduling aims to determine the best beacon trajectory so that each sensor receives sufficient beacon signals with minimum delay. We propose a novel DeteRministic bEAcon Mobility Scheduling (DREAMS) algorithm, without requiring any prior knowledge of the sensory field. In this algorithm, beacon trajectory is defined as the track of depth-first traversal (DFT) of the network graph, thus deterministic. The mobile beacon performs DFT under the instruction of nearby sensors on the fly. It moves from sensor to sensor in an intelligent heuristic manner according to RSS (Received Signal Strength)-based distance measurements. We prove that DREAMS guarantees full localization (every sensor is localized) when the measurements are noise-free. Then we suggest to apply node elimination and topology control (Local Minimum Spanning Tree) to shorten beacon tour and reduce delay. Through simulation we show that DREAMS guarantees full localization even with noisy distance measurements. We evaluate its performance on localization delay and communication overhead in comparison with a previously proposed static path based scheduling method.
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Communication dans un congrès
8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2011), Oct 2011, Valencia, Spain. 2011
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Dernière modification le : jeudi 11 janvier 2018 - 06:22:13
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Xu Li, Nathalie Mitton, Isabelle Simplot-Ryl, David Simplot-Ryl. Mobile-Beacon Assisted Sensor Localization with Dynamic Beacon Mobility Scheduling. 8th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2011), Oct 2011, Valencia, Spain. 2011. 〈inria-00609350〉

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