Monte-Carlo Localization for Mobile Wireless Sensor Networks
作者： Aline Baggio , Koen Langendoen
DOI: 10.1007/11943952_27
关键词:
摘要: Localization is crucial to many applications in wireless sensor networks. This article presents a range-free anchor-based localization algorithm for mobile networks that builds upon the Monte Carlo algorithm. We improve accuracy and efficiency by making better use of information node gathers drawing necessary location samples faster. Namely, we constrain area from which are drawn building box covers region where anchors' radio ranges overlap. Simulation results show improved minimum 4% maximum 73%, on average 30%, varying speeds when considering nodes with knowledge at least three anchors. The coverage also strongly affected speed its improvement 3% 55%, 22%. Finally, processing time reduced 93% similar accuracy.
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