Successive sensor nodes localization using non-parametric belief propagation

Authors:
Yuko Toshimitsu;Hidekata Hontani
Affiliations:
Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan;Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan
Venue:
INSS'09 Proceedings of the 6th international conference on Networked sensing systems
Year:
2009

Citing 2
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Nonparametric belief propagation

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Nonparametric belief propagation for self-localization of sensor networks

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Abstract

We propose a method for localizing networked sensor nodes that include both static node and mobDe ones. When nodes can measure the relative distances to their neighboring ones, we can estimate the absolute position of each node. Once distributed static nodes are positioned, we can position a mobile node for each time that moves through the distributed ones and measures the relative distances to the distributed ones. By using these distances, we can improve the estimated positions of the distributed nodes. For this estimation, we employ the nonparametric belief propagation. Simulation results showed that the proposed method successively improved the estimated positions.