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Descripción
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| 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 (NBP-ST) 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). | |
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Internacional
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Si |
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Nombre congreso
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IEEE 72nd Vehicular Technology Conference Fall (VTC 2010-Fall) |
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Tipo de participación
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960 |
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Lugar del congreso
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Ottawa, Canada |
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Revisores
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Si |
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ISBN o ISSN
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978-1-4244-3573-9 |
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DOI
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10.1109/VETECF.2010.5594105 |
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Fecha inicio congreso
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06/09/2010 |
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Fecha fin congreso
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09/09/2010 |
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Desde la página
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1 |
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Hasta la página
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5 |
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Título de las actas
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IEEE Proceedings of Vehicular Technology Conference Fall (VTC 2010-Fall) |