A Clustering Routing Protocol Based on Gray Wolf Optimization Algorithm and Dijkstra
Aiming at the problem that the energy consumption of clustering head is too fast and the life cycle is too short in wireless sensor network clustering routing,a clustering routing protocol based on Grey Wolf optimization and Dijkstra algorithm is proposed.In the process of cluster head selection,the gray wolf optimization algorithm is used to select the optimal cluster head,and to improve the fitness func-tion,and to comprehensively consider the four factors of node energy,density,location,and frequency of the selected cluster head.The Dijkstra algorithm with the minimum weight of energy and distance is used for routing selection and for the completion of the sensor information transmission.The simulation results show that the proposed algorithm can effectively reduce the node death rate,balance the overall network energy consumption and prolong the network life compared with LEACH,PEAGASIS and ABC algorithms.
wireless sensor networkclusteringgrey wolf optimizationDijkstralife cycle
万方数据
维普
