An Improved Stimulus-based Adaptive Sleeping Method for Wireless Sensor Networks

Abstract

Due to the cost and size reasons of sensor node in wireless sensor network (WSN), the limitation of electric power resource is a main problem of WSN. Especial wireless sensor network apply to monitor difussion stimulus (DS). Thus, how to manage the power energy of sensor node is an important issue in WSN. The sleep mechanism is an effective and electric mechanism of management often use, it can effectively save the electricity and lengthen the wireless sensor network life cycle. Although SAS sleep mechanism of wireless sensor network save the electricity and lengthen the wireless sensor network life cycle, but because each node timer is inconsistent, so the sleep time possible error make detection delay. This thesis proposes a correcting mechanism, it is improvement SAS sleep mechanism of wireless sensor network and control the accuracy of sleep module. It can reduce detection delay through this sleep mechanism, and increase the wireless sensor network life cycle.