A dynamic sensing cycle decision scheme for energy efficiency and data reliability in wireless sensor networks

Abstract

There are many schemes to increase energy efficiency in wireless sensor network as energy is precious resource. We focus on improving energy efficiency in sensing module while most of the previous works focus on the energy saving in communication module. When a sensor network continuously senses wide area, energy consumption is needed largely in sensing module. We consider a change rate of sensed data and adjust sensing period to reduce energy consumption while minimizing average delay between change of field and detection. Additionally, cooperation among neighbor nodes is essential to reduce energy consumption and the delay. Our dynamic sensing algorithm reduces the energy consumption and delay between change of field and detection. Our scheme controls sensing cycle based on change of sensing data and sensing cycle of neighbor nodes. It improves energy efficiency up to 90 %, and reduces the delay up to 84 %, comparing to the previous works. © Springer-Verlag Berlin Heidelberg 2007.