An optimized sleeping policy integrating with dynamic voltage scheduling in wireless sensor network

Abstract

Wireless sensor network (WSN) has been wildly used in human life. Energy efficient is one of the most important issues to be considered when WSN is deployed. Within a sensor node, dynamic power management (DPM) is an effective method to extend the lifetime of WSN. In this paper, we firstly introduce the character of the redundant nodes in WSN, and discuss a novel method to decide which nodes are the redundant nodes based on the same event that nodes sensed. Then, in order to effectively shut down the components of each node based on the observed event statistics, we propose a new sleeping policy integrating with dynamic voltage scheduling (DVS) technique and modify the sleep threshold for each state. Simulation results show that the energy consumption is significantly reduced by using the proposals above.