Abstract: new routing algorithm based on ant-colony intelligence for MSNs named ACOMSNet is proposed in this paper, which incorporates the social characteristics of networks and terminals. In order to get the information between the nodes on the list, the algorithm adopts the method of processing nodes on the path of information transmission.so the exploration will provide information for other nodes to choose optimal relay while forwarding data to the exploring nodes. In addition, ACOMSNet designs methodologies for pheromone updating and data forwarding. The simulation experiment on real data sets shows that comparing with typical MSN routing algorithms, ACOMSNet can effectively improve the critical performance of MSN data distribution at small cost of control traffic.