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Nonparametric Belief Propagation Based on Spanning Trees for Cooperative Localization in Wireless Sensor Networks
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Technical University of Madrid, Spain. (Signal Processing Applications Group)
2010 (English)In: Proc. of IEEE 72nd Vehicular Technology Conference Fall (VTC 2010-Fall), 2010, 1-5 p.Conference paper, Oral presentation only (Refereed)
Abstract [en]

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.
Keyword [en]
cooperative localization, location estimation, nonparametric belief propagation, spanning trees, wireless sensor networks
National Category
Engineering and Technology Communication Systems Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-81082DOI: 10.1109/VETECF.2010.5594105ISBN: 978-1-4244-3574-6 (print)ISBN: 978-1-4244-3573-9 (print)OAI: oai:DiVA.org:liu-81082DiVA: diva2:550277
Conference
Vehicular Technology Conference Fall (VTC 2010-Fall), Ottawa, Canada
Available from: 2012-09-06 Created: 2012-09-06 Last updated: 2012-09-21

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Publisher's full textNonparametric Belief Propagation Based on Spanning Trees for Cooperative Localization in Wireless Sensor Networks

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Savic, Vladimir

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf