To improve the energy efficiency and prolong the life cycle of Wireless Sensor Network (WSN), a WSN hierarchical routing algorithm based on Fuzzy C-Means (FCM) clustering and Swarm Intelligence (FCM-SI) was proposed. Firstly, FCM clustering algorithm was adopted to cluster the network, which optimized the distance between common nodes and Cluster Heads (CH). Then, Artificial Bee Colony (ABC) algorithm with three parameters was used to select the optimal CH. At last, Ant Colony Optimization (ACO) algorithm was adopted to search the multi-hop path between CH and Base Station (BS), which took energy consumption and load balancing into consideration. The simulation results show that compared with the algorithms of Improved Low Energy Adaptive Cluster Hierarchy (I-LEACH) based on uniform clustering, Low Energy Adaptive Cluster Hierarchy (LEACH) based on ABC (ABC-LEACH) and LEACH based on ACO (ANT-LEACH), the network life cycle of FCM-SI is prolonged by 65.2%, 49.6%, and 29.0% under initial network conditions with 100 nodes deployed in 100 m*100 m area. FCM-SI can effectively prolong network life and improve energy efficiency.