Nonparametric Belief Propagation Based on Spanning Trees for Cooperative Localization in Wireless Sensor Networks
2010 (English)In: Proc. of IEEE 72nd Vehicular Technology Conference Fall (VTC 2010-Fall), 2010, 1-5 p.Conference paper, Presentation (Refereed)
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).
Place, publisher, year, edition, pages
2010. 1-5 p.
cooperative localization, location estimation, nonparametric belief propagation, spanning trees, wireless sensor networks
Engineering and Technology Communication Systems Signal Processing
IdentifiersURN: urn:nbn:se:liu:diva-81082DOI: 10.1109/VETECF.2010.5594105ISBN: 978-1-4244-3574-6ISBN: 978-1-4244-3573-9OAI: oai:DiVA.org:liu-81082DiVA: diva2:550277
Vehicular Technology Conference Fall (VTC 2010-Fall), Ottawa, Canada