Research On Sleep Scheduling Algorithm For Eh-wsn With Limited Energy Collection

The biggest problem of Wireless Sensor Network(WSN)is limited energy.In order to break the constraints of this problem,Energy Harvesting Wireless Sensor Networks(EH-WSN)using the surrounding environment to supply energy have been widely studied.The most widely used is the solar energy collection wireless sensor network.In the case of limited illumination time or weak illumination intensity in winter or cloudy days,the energy collected by the nodes is also limited,which leads to the corresponding reduction of the normal operation time of the network.Therefore,this paper proposes a Sleep scheduling algorithm based on virtual grid for long time and low energy collection(SGLE)from the perspective of improving energy utilization and prolonging network life cycle.The algorithm mainly includes three parts:(1)judgment criteria of redundant nodes.The network area is divided into several equal area small squares,and the ratio of small squares covered by neighbor nodes is used to judge whether the node is redundant;(2)The sensor nodes interact with neighbors before sleeping.The nodes that reach the sleep condition compare the sleep priority with the neighbor nodes before sleeping,and then decide whether to enter the sleeping state,so as to effectively avoid the generation of blind area;(3)Dynamically determine the sleep time.Comparing the residual energy of pre-dormant nodes with the energy threshold,the node with more residual energy takes the value in the sleep time interval with smaller value,while the node with less residual energy takes the value in the sleep time interval with larger value.Simulation results show that,compared with the existing mod-LEACH algorithm,VSGCA algorithm and GAF algorithm,SGLE algorithm has a significant improvement in node survival rate,node mortality rate,network coverage rate and working node ratio under the same conditions.