The life cycle of a wireless sensor network is directly related to the energy consumption of its nodes. In order to solve the problem that the uneven distribution of energy consumption affects the network life, an energy-balanced WSN routing optimization algorithm (EBRAA) based on AGNES clustering is proposed. The AGNES clustering algorithm is used to obtain uniform clustering of the network. According to the residual energy of the nodes in the cluster, the distance between the nodes and the base station, and their weights, the distributed cluster heads are selected. The improved Dijkstra algorithm is used to generate the multi-hop routing with the shortest path between the cluster heads. The simulation results show that, compared with LEACH and KBECRA algorithms, EBRAA algorithm has more reasonable cluster distribution and more balanced energy consumption, and prolongs the network life cycle.