A multiobjective optimization based sensor selection method for target tracking in Wireless Sensor Networks

Nianxia Cao, Engin Masazade, Pramod K. Varshney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

In this paper, we propose a sensor selection strategy for target tracking in Wireless Sensor Networks by formulating it as a multiobjective optimization problem (MOP). At each time step of tracking, we obtain tradeoff solutions between two conflicting objectives: minimization of the number of selected sensors and minimization of the information gap between the Fisher Information when all the sensors transmit measurements and the Fisher Information when only the selected sensors transmit their measurements based on the sensor selection strategy. Simulation results show that the sensor selection strategy which is closest to the utopia point of the MOP adaptively decides on the required number of selected sensors at each time step of tracking and achieves estimation performance that is near the estimation performance when all the sensors transmit.

Original languageEnglish (US)
Title of host publicationProceedings of the 16th International Conference on Information Fusion, FUSION 2013
Pages974-980
Number of pages7
StatePublished - Dec 26 2013
Event16th International Conference of Information Fusion, FUSION 2013 - Istanbul, Turkey
Duration: Jul 9 2013Jul 12 2013

Publication series

NameProceedings of the 16th International Conference on Information Fusion, FUSION 2013

Other

Other16th International Conference of Information Fusion, FUSION 2013
CountryTurkey
CityIstanbul
Period7/9/137/12/13

Keywords

  • Target tracking
  • multiobjective optimization
  • sensor selection
  • wireless sensor networks (WSNs)

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Cao, N., Masazade, E., & Varshney, P. K. (2013). A multiobjective optimization based sensor selection method for target tracking in Wireless Sensor Networks. In Proceedings of the 16th International Conference on Information Fusion, FUSION 2013 (pp. 974-980). [6641101] (Proceedings of the 16th International Conference on Information Fusion, FUSION 2013).