Researchon Geographic Routing Protocol Based On Energy Balance In Wireless Sensor Network

Wireless Sensor Network(WSN)is composed of sensor nodes,the data transmission between nodes through the route.Because the sensor nodes are small and vulnerable to resource constraints,it is necessary to build an energy-efficient routing protocol.Geographic routing protocols use location information to avoid flooding of data,thus reducing routing overhead.In this article,we propose improved GPSR algorithm(IGPSR)based on dual threshold and angle and an improved GAF algorithm(IGAF)based on greedy forwarding and energy gradient from the perspective of energy balance.From the perspective of flat routing,the IGPSR algorithm divides the energy level of the nodes by double thresholds,thus nodes with low energy are only responsible for data collection.In the process of route establishment,a node with higher energy and smaller offset angle is selected as the next hop.During data transmission,the energy protection strategy is started,the node with lower-energy on the route replaced,thereby protecting the low-energy nodes.Simulation results show that compared with GPSR,IGPSR can reduce network the energy consumption and improve the network lifetime.From the perspective of hierarchical routing,the IGAF algorithm reduces the energy loss of the network by optimizing the cluster and the cluster head election.After the cluster is optimized,the cluster heads can wireless communicate with each other in greedy forwarding way to reduce the transmission distance between the cluster head and the destination node.In the cluster head election,considering the energy information of nodes,the nodes with high energy selected as cluster heads probability is increase,thus reducing the energy loss of the low-energy node,and when the energy of the cluster head is less than the energy threshold,the cluster head is reelected.Simulation results show that compared with GAF,IGAF can balance the network energy consumption and improves the network lifetime.