The Research Of Wireless Sensor Network Routing Technology Based On Ant Colony Algorithm

Through the research and analysis of wireless sensor network (WSN) routing, introduce k-mean clustering algorithm for clustering nodes. The clustering algorithm can make a minimum distance that each node in the cluster reaches the cluster head node and is helpful to reduce energy consumption of nodes in network. According to the factors of node energy, communication distance and data processing capacity, the cluster head election algorithm is proposed by using fuzzy comprehensive evaluation method. So it can form the routing clustering structure. On the basis of clustering, this paper proposed an ant-colony algorithm for cluster routing algorithm according to the dynamics of WSN and limited energy of nodes. The algorithm was improved for ant-colony algorithm from the perspectives of node energy, communication distance, search angle and directional pheromone. It realized the rapid and energy savin" routine in WSN. The simulation results indicate the algorithm is able to equipoise the energy consumption, prolong the lifecycle of the network, and is a routing algorithm with better performance compared with other improved ant-colony algorithm.