Energy Efficient Sleep Scheduling in Sensor Networks for Multiple Target Tracking

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.

• Type: Conference
• Year: 2008
• Where: DCOSS
• Authors: Bo Jiang, Binoy Ravindran, Hyeonjoong Cho
• Keywords: DCOSS 2008, Distributed And Parallel Computing, Multiple Target Tracking, Sleep Scheduling Algorithms, Target Tracking