Self-adaptive sleep scheduling for wireless sensor networks

Abstract

The wireless sensor network (WSN) generally includes a large amount of cheap embedded equipment powered by battery. Therefore, the WSN is restricted in the aspect of resource dissipation. When designing WSN it is one of the core problems to optimise the power dissipation in order to lengthen the network life. In real-world usage, nodes of WSN are often densely distributed because nowadays the hardware cost of sensor nodes is relatively low. The net topological structure can be optimised by taking advantage of the data redundancy brought out by extra nodes. Thus we present a Self-Adaptive Sleep Scheduling (SASS) algorithm against the energy-conserving problem of high-density WSN on the basis of a classic topology control algorithm: ASCENT. We improve the state transition mechanism of ASCENT and take the data redundancy into consideration. Through the experiments, it is proved that SASS is more energy efficient and improves the stability.