Energy Efficient Sleep Scheduling in Sensor Networks for Multiple Target Tracking

  • Authors:
  • Bo Jiang;Binoy Ravindran;Hyeonjoong Cho

  • Affiliations:
  • ECE Dept., Virginia Tech,;ECE Dept., Virginia Tech,;ETRI, Daejoen, South Korea

  • Venue:
  • DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
  • Year:
  • 2008

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Abstract

This paper presents an energy-aware, sleep scheduling algorithm called SSMTT to support multiple target tracking sensor networks. SSMTT leverages the awakening result of interfering targets to save the energy consumption on proactive wake-up communication. For the alarm message-miss problem introduced by multiple target tracking, we present a solution that involves scheduling the sensor nodes' sleep pattern. We compare SSMTT against three sleep scheduling algorithms for single target tracking: the legacy circle scheme, MCTA, and TDSS. Our experimental evaluations show that SSMTT achieves better energy efficiency than handling multiple targets separately through single target tracking algorithms.