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Tracking moving object via a sensor network with partial information broadcasting scheme

  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Tracking moving object is one of the key applications of wireless sensor networks. A wireless sensor network is often constrained with the restrictive power and processing capability of each node, and the limited communication bandwidth. We develop a partial information broadcasting scheme (PIBS) for moving object tracking. The relation between communication capacity and tracking accuracy under PIBS is quantified, in which all the nodes take individual measurements and only some nodes broadcast the data. A "Good Estimates First Broadcast" (GEFB) policy is developed to improve the estimates. The numerical results show that the PIBS together with the GEFB policy can reduce a large amount of communication load with minor degradation in tracking accuracy.

Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4643-4648
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: 15 Dec 200918 Dec 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period15/12/0918/12/09

Keywords

  • Collaborative tracking
  • Distributed estimation
  • Kalman filter
  • Wireless sensor networks

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