Distributed Computing in Sensor Systems

Volume 5067 of the series Lecture Notes in Computer Science pp 498-509

Energy Efficient Sleep Scheduling in Sensor Networks for Multiple Target Tracking

  • Bo JiangAffiliated withECE Dept., Virginia Tech
  • , Binoy RavindranAffiliated withECE Dept., Virginia Tech
  • , Hyeonjoong ChoAffiliated withETRI

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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.