Research On Clustering Routing Algorithm For Wireless Sensor Networks Based On Genetic Algorithm

Wireless Sensor Network(Wireless Sensor Network,WSN)is a new type of wireless intelligent network with strong self-organization ability and random deployment characteristics.It is widely used in environmental monitoring,medical treatment,smart home and other fields.However,the sensor node uses disposable batteries for energy,and the node energy is exhausted and cannot be charged in time,which affects the normal operation of the WSN.In the case of limited resources,designing high-efficiency and energy-saving routing algorithms to find "efficient" paths and reducing network energy consumption has important research significance and value.Based on the research and improvement of the classic cluster routing algorithm,this paper proposes an improved LEACH algorithm based on partitioning and optimized threshold function and a cluster routing algorithm based on genetic algorithm with the goal of energy-saving and efficient routing.The research content is as follows:Aiming at the problems of LEACH routing with random election of cluster heads,and accelerating energy consumption of cluster heads caused by single-hop routing between clusters,an improved LEACH algorithm based on partition and threshold optimization is proposed.The algorithm considers the remaining energy of nodes,the number of n eighbor nodes and the distance from the base station to optimize the cluster head election function.At the same time,the WSN deployment area is divided.Different partitions adopt different data transmission methods to reduce the forwarding load of cluster head nodes near the base station.The results show that compared with LEACH and LEACH-EDP,the running tim e of the first dead node is extended by 41.22%and 14.94%,respectively,and it h as better performance in improving network stability.On the basis of the improved LEACH,a clustering routing algorithm based on genetic algorithm is proposed to solve the problem that the cyclic clustering will increase the energy consumption of node communication.A dynamic cluster head election method is designed using genetic algorithm,a cost function is introduced in the stable phase,the selection strategy of the next hop sending node between clusters is improved,and the cluster head with sufficient energy and better location is selected for data forwarding.Simulation results show that compared with LEACH,LEACH-EDP and improved LEACH,the algorithm can reduce the energy consumption of node wireless communication,improve node energy utilization,and extend the life cycle of the network.At the same time,the algorithm also has good performance in large areas.