Design and analysis of wave sensing scheduling protocols for object-tracking applications

  • Authors:
  • Shansi Ren;Qun Li;Haining Wang;Xiaodong Zhang

  • Affiliations:
  • College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA

  • Venue:
  • DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
  • Year:
  • 2005

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Abstract

Many sensor network applications demand tightly-bounded object detection quality. To meet such stringent requirements, we develop three sensing scheduling protocols to guarantee worst-case detection quality in a sensor network while reducing sensing power consumption. Our protocols emulate a line sweeping through all points in the sensing field periodically. Nodes wake up when the sweeping line comes close, and then go to sleep when the line moves forward. In this way, any object can be detected within a certain period. We prove the correctness of the protocols and evaluate their performances by theoretical analyses and simulation.