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Sensor network lifetime maximization via sensor energy balancing: construction and optimal scheduling of sensor trees
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2008 (English)Conference paper, Published paper (Other academic)
Abstract [en]

In this paper the authors consider state estimation carried over a sensor network. A fusion center forms a local multihop tree of sensors and fuses the data into a state estimate. A set of sensor trees with desired properties is constructed, and those sensor trees are scheduled in such a way that the network lifetime is maximized. The sensor tree construction and scheduling algorithms are shown to have low polynomial time complexity which leads to efficient implementation in practice. The scheduling algorithm is also shown to return the optimal solution. Examples are provided to demonstrate the algorithms.

Place, publisher, year, edition, pages
2008.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-81147OAI: oai:DiVA.org:kth-81147DiVA: diva2:497165
Conference
FeBid 2008, Third International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks 6 June 2008, Annapolis, Maryland, USA
Note
QC 20120214Available from: 2012-02-14 Created: 2012-02-10 Last updated: 2012-02-14Bibliographically approved

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wsn_estimation_febid08(251 kB)194 downloads
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f593ad717775fc16ae545d0892defb90f806c4ec893c97ab4cdcbf5195ecd3e0539d6b170d1109ed5c85acfcc4d73db089553ed769dcbe028761b10d5c21a356
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Johansson, Karl Henrik

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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