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Reducing Communication Overhead for Cooperative Localization Using Nonparametric Belief Propagation
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Technical University of Madrid, Spain. (Signal Processing Applications Group)
2012 (English)In: IEEE Wireless Communication Letters, ISSN 2162-2337, Vol. 1, no 4, 308-311 p.Article in journal, Letter (Refereed) Published
Abstract [en]

A number of methods for cooperative localization has been proposed, but most of them provide only location estimate, without associated uncertainty. On the other hand, nonparametric belief propagation (NBP), which provides approximated posterior distributions of the location estimates, is expensive mostly because of the transmission of the particles. In this paper, we propose a novel approach to reduce communication overhead for cooperative positioning using NBP. It is based on: i) communication of the beliefs (instead of the messages), ii) approximation of the belief with Gaussian mixture of very few components, and iii) censoring. According to our simulations results, these modifications reduce significantly communication overhead while providing the estimates almost as accurate as the transmission of the particles.

Place, publisher, year, edition, pages
2012. Vol. 1, no 4, 308-311 p.
Keyword [en]
Cooperative localization, censoring, communication cost, message approximation, nonparametric belief propagation
National Category
Engineering and Technology Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-81077DOI: 10.1109/WCL.2012.042512.120172OAI: oai:DiVA.org:liu-81077DiVA: diva2:550253
Available from: 2012-09-06 Created: 2012-09-06 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