Energy Efficient Multiple Target Prediction and Sleep Scheduling in WSNs

Abstract

Wireless sensor networks are composed of a large number of sensor nodes, which are powered by portable power sources. Scheduling sensor activities is an effective way to prolong the lifetime of wireless sensor networks (WSNs). If the sensor remains active 24/7 its energy will be depleted completely at some point and that sensor will not be taking part in monitoring or it will not function. It will be difficult to check and replace those sensors whose battery is drained. In this paper a Multiple Target Prediction and Sleep Scheduling mechanism (MTPS) is proposed to improve energy efficiency and to detect multiple targets in WSNs. MTPS selects the nodes to awaken, reduces their active time and also activate the boundary nodes to detect and track multiple mobile targets. The efficiency of MTPS mechanism is evaluated with simulation based experiments, In the existing work Probability-based Prediction and Sleep Scheduling mechanism (PPSS) is used. PPSS method precisely selects the nodes to awaken and reduces their active time. PPSS has a limitation of detecting only single target. Simulation based results reveal that MTPS yields better performance compared with PPSS.