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Enable Energy Efficiency of Object Tracking using Sentinel based Multisensor Sleep Scheduling

As a way of lifetime extension, the energy efficiency has become a crucial criterion in the design of object tracking sensor networks (OTSN). In this paper, we propose a sentinel based sleep scheduling called Sleep Scheduling Protocol (SSP) to reduce the number of the awakened sensor nodes with less performance loss while existing solutions either suffer from increasing of event detecting delays or computing overhead. SSP is built upon cluster based network structure. Each cluster contains group of sensor nodes divided in terms of geometric information. Sentinels will be selected from each cluster for probing object moving trajectory and maintaining communication routes. In the approach, sentinels will remain active or be scheduled to periodic sleep. The rest of the nodes remain sleeping until being waked up by sentinels and only maintain low communication power to stay accessible for energy saving. We compare SSP with three sleep based scheduling protocols via simulation. The results show that SSP can reduce average energy consumption but with reasonable detection probability and delay.