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An Experimental Study of RSS-Based Indoor Localization Using Nonparametric Belief Propagation Based on Spanning Trees
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Technical University of Madrid, Spain. (Signal Processing Applications Group)
2010 (English)In: Proc. of Intl. Conf. on Sensor Technologies and Applications, 2010, 238-243 p.Conference paper, Oral presentation only (Refereed)
Abstract [en]

Nonparametric belief propagation (NBP) is the well-known method for cooperative localization in wireless 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. Therefore, in this paper, we propose a novel approach, NBP based on spanning trees (NBP-ST) created by breadth first search (BFS) method. In addition, we propose a reliable indoor model based on obtained received-signal-strength (RSS) measurements in our lab. According to our experimental results, NBP-ST performs better than NBP in terms of accuracy and communication cost in the networks with high connectivity (i.e., highly loopy networks).

Place, publisher, year, edition, pages
2010. 238-243 p.
Keyword [en]
indoor localization, breadth first search, nonparametric belief propagation, sensor networks, spanning tree
National Category
Engineering and Technology Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-81370DOI: 10.1109/SENSORCOMM.2010.44ISBN: 978-1-4244-7538-4 (print)OAI: oai:DiVA.org:liu-81370DiVA: diva2:552072
Conference
Intl. Conf. on Sensor Technologies and Applications, Venice, Italy
Available from: 2012-09-12 Created: 2012-09-12 Last updated: 2012-09-21

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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