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2010
IEEE

Nonparametric Belief Propagation Based on Spanning Trees for Cooperative Localization in Wireless Sensor Networks

8 years 3 months ago
Nonparametric Belief Propagation Based on Spanning Trees for Cooperative Localization in Wireless Sensor Networks
—Nonparametric belief propagation (NBP) is one of the best-known methods for cooperative localization in sensor networks. It is capable to provide information about location estimation with appropriate uncertainty and to accommodate non-Gaussian distance measurement errors. However, the accuracy of NBP is questionable in loopy networks. In this paper, we propose a novel approach, NBP based on spanning trees (NBPST) created by breadth first search (BFS) method. According to our simulation results, NBP-ST performs better than NBP in terms of accuracy, computational and communication cost in the networks with high connectivity (i.e., highly loopy networks).
Vladimir Savic, Santiago Zazo
Added 31 Jan 2011
Updated 31 Jan 2011
Type Journal
Year 2010
Where VTC
Authors Vladimir Savic, Santiago Zazo
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