liu.seSearch for publications in DiVA
Change search
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
Nonparametric Boxed Belief Propagation for Localization in Wireless Sensor Networks
Technical University of Madrid, Spain. (Signal Processing Applications Group)
Technical University of Madrid, Spain. (Signal Processing Applications Group)
2009 (English)In: IEEE Proc. of Intl. Conf. on Sensor Technologies and Applications, 2009, 520-525 p.Conference paper, Oral presentation only (Refereed)
Abstract [en]

Obtaining estimates of each sensorpsilas position as well as accurately representing the uncertainty of that estimate is a critical step for effective application of wireless sensor networks (WSN). Nonparametric belief propagation (NBP) is a popular localization method which uses particle based approximation of belief propagation. In this paper, we present a new variant of NBP method which we call nonparametric boxed belief propagation (NBBP). The main idea is to constraint the area from which the samples are drawn by building a box that covers the region where anchorspsila radio ranges overlap. These boxes, which are created almost without any additional communication between nodes, are also used to filter erroneous samples of the beliefs. In order to decrease the computational and the communication cost, we also added incremental approach using Kullback-Leibler (KL) divergence as a convergence parameter. Simulation results show that accuracy, computational and communication cost are significantly improved.

Place, publisher, year, edition, pages
2009. 520-525 p.
Keyword [en]
localization, nonparametric belief propagation, particle filters, wireless sensor networks
National Category
Engineering and Technology Signal Processing Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-81372DOI: 10.1109/SENSORCOMM.2009.87ISBN: 978-0-7695-3669-9 (print)OAI: oai:DiVA.org:liu-81372DiVA: diva2:552077
Conference
Intl. Conf. on Sensor Technologies and Applications, Athens, Greece
Available from: 2012-09-12 Created: 2012-09-12 Last updated: 2012-09-21

Open Access in DiVA

fulltext(302 kB)156 downloads
File information
File name FULLTEXT01.pdfFile size 302 kBChecksum SHA-512
5a680a30cdd4821c6ab3c930d37daf3612792e43b3f5c7a64c9cd929bbe7ff812836641c75366df7fc7f4869f7ff0df4ae1ef1ab7e077e245009e96e10de0c94
Type fulltextMimetype application/pdf

Other links

Publisher's full textNonparametric Boxed Belief Propagation for Localization in Wireless Sensor Networks

Authority records BETA

Savic, Vladimir

Search in DiVA

By author/editor
Savic, Vladimir
Engineering and TechnologySignal ProcessingCommunication Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 156 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 174 hits
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