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Adaptive sensor networks for consensus based distributed estimation
KTH, School of Electrical Engineering (EES), Automatic Control.
2012 (English)In: Control Applications (CCA), 2012 IEEE International Conference on, IEEE , 2012, 652-657 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper consensus based algorithms for distributed estimation in sensor networks are discussed and a new algorithm with decentralized adaptation is proposed for solving the problem where the state of a monitored process is observed only by a relatively small percentage of the sensors at each iteration of the algorithm. The given analysis shows that adaptation of the gains in the consensus scheme is of crucial importance for getting simple yet efficient estimation algorithms. It is also shown that the exchange of an additional binary information between the nodes on whether or not a node has received the observation, along with the information on state estimates, is sufficient to obtain a robust and efficient tool for practice. Selected examples illustrate performance of the proposed algorithm in terms of the mean square estimation error and the disagreement between the nodes.

Place, publisher, year, edition, pages
IEEE , 2012. 652-657 p.
Series
Proceedings of the IEEE International Conference on Control Applications
Keyword [en]
Consensus, Decentralized adaptation, Distributed estimation, Sensor networks
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-118386DOI: 10.1109/CCA.2012.6402382Scopus ID: 2-s2.0-84873100689ISBN: 978-146734503-3 (print)OAI: oai:DiVA.org:kth-118386DiVA: diva2:606222
Conference
2012 IEEE International Conference on Control Applications, CCA 2012, 3 October 2012 through 5 October 2012, Dubrovnik
Note

QC 20130218

Available from: 2013-02-18 Created: 2013-02-18 Last updated: 2013-02-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • ieee
  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
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