Towards robust localization in mobile sensor networks (情報ネットワーク)
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概要
- 論文の詳細を見る
Localization in mobile sensor networks is more challenging than in static sensor networks because mobility increases the uncertainty of nodes' positions. Most existing localization algorithms in mobile sensor networks use Sequential Monte Carlo (SMC) methods due to their simplicity in implementation. In this paper, we propose a localization algorithm which outperforms the existing state of the art in terms of communication overhead and location accuracy. Our proposal is a range-free positioning system based on heading data provided by a variety of orientation-tracking sensors of different precisions, applied to the Monte Carlo sampling technique. Simulation results indicate that our approach is also much more reliable against radio irregularities.
- 社団法人電子情報通信学会の論文
- 2009-02-24
著者
-
Sezaki Kaoru
Center For Spatial Information Center The University Of Tokyo
-
Martins Marcelo
Institute Of Industrial Science The University Of Tokyo
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