Deflection-aware tracking-principal selection in active wireless sensor networks

Fan Zhou*, Goce Trajcevski, Oliviu Ghica, Roberto Tamassia, Peter I Scheuermann, Ashfaq Khokhar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


This paper addresses the problem of energy efficiency balanced with tracking accuracy in wireless sensor networks (WSNs). Specifically, we focus on the issues related to selecting tracking principals, i.e., the nodes with two special tasks: 1) coordinating the activities among the sensors that are detecting the tracked object's locations in time and 2) selecting a node to which the tasks of coordination and data fusion will be handed off when the tracked object exits the sensing area of the current principal. Extending the existing results that based the respective principal selection algorithms on the assumption that the target's trajectory is approximated with straight line segments, we consider more general settings of (possibly) continuous changes of the direction of the moving target. We developed an approach based on particle filters to estimate the target's angular deflection at the time of a handoff, and we considered the tradeoffs between the expensive in-node computations incurred by the particle filters and the imprecision tolerance when selecting subsequent tracking principals. Our experiments demonstrate that the proposed approach yields significant savings in the number of handoffs and the number of unsuccessful transfers in comparison with previous approaches.

Original languageEnglish (US)
Article number6204360
Pages (from-to)3240-3254
Number of pages15
JournalIEEE Transactions on Vehicular Technology
Issue number7
StatePublished - 2012


  • Moving-object tracking
  • network coverage
  • principal selection
  • sensor network

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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