Power-efficient scheduling method in sensor networks

Advances in micro-sensor and radio technology would enable the deployment of small but smart sensors for various environmental monitoring applications. Generally, the sensor node cannot recharge and the battery life is not expected to increase significantly in the future. Reducing power consumption and providing efficient power savings are crucial points in sensor networks. From the related research, this study generalizes four cases of power waste and consumption, as follows: collision, sparse node, overhead and listen. The proposed method can avoid those four case of power consumption and waste case. Numerous studies demonstrate that sleeping mode is merely a method for power saving. Thus This work utilized those previous related works results about power saving, every node according to schedule working, the other node enters the sleeping mode until it needs to work again. Simulation results demonstrated that the proposed approach performs between 150% and 250% better than PEGASIS when 10%, 20%, 50%, and 100% of nodes die in different sensor network sizes and topologies.