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Optimal energy allocation for Kalman filtering over packet dropping links with energy harvesting constraints
Department of Electrical and Electronic Engineering, The University of Melbourne, Australia.
Department of Electrical and Electronic Engineering, The University of Melbourne, Australien.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2013 (English)In: 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems (2013) / [ed] Vey, Daniel, Koblenz, Germany: International Federation of Automatic Control , 2013, 261-268 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper studies the problem of optimal transmission energy allocation for error covariance minimization in Kalman filtering with random packet losses for sensors with energy harvesting capabilities. The energy harvesters provide an everlasting but unreliable energy source compared to conventional batteries with fixed energy storages. The packet loss probabilities of the Kalman filtering depend on both the sensor transmit energy and time varying wireless fading channel gains. We minimize either a finite horizon sum or the long term average (infinite horizon) of the trace of the expected error covariance of the Kalman filter subject to energy harvesting constraints. The resulting Markov decision process problems with constraints are approached using the dynamic programming principle for both causal and non-causal system information. Using the concept of submodularity, the structure of the optimal transmission energy policy is studied. Numerical simulation results are presented illustrating the performance of the energy allocation algorithms.

Place, publisher, year, edition, pages
Koblenz, Germany: International Federation of Automatic Control , 2013. 261-268 p.
Series
Estimation and Control of Networked Systems, ISSN 1474-6670 ; 4:1
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering with specialization in Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-211962DOI: 10.3182/20130925-2-DE-4044.00068ISBN: 978-3-902823-55-7 (print)OAI: oai:DiVA.org:uu-211962DiVA: diva2:674763
Conference
4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Rhine-Moselle-Hall, Koblenz, Tyskland
Available from: 2013-12-03 Created: 2013-12-03 Last updated: 2014-12-05Bibliographically approved

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Dey, Subhrakanti

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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