Abstract: For wireless sensor network there is a series of problems such as node energy limited and data conflict and transmission delay in information transmission,Put forward data aggregation algorithm on the basis of the maximum lifetime of wireless sensor network．The algorithm divided the nodes in the network into a plurality of clusters,Each cluster in the uniform distribution of nodes according to the node''s transmission range,Each of the nodes select communication mode in the light of their local information and residual energy to transmit data to the cluster head node,and form the shortest path of data transmission．Then apply particle swarm optimization method based on Pareto in line with the centralized TDMA scheduling model.The average processing time slot and the average energy consumption optimization was optimizated in the completion of the information transmission．Simulation results show that the algorithm can not only maximize the survival time of the network,but also can effectively reduce the data fusion time and reduce network delay.

Key words: Wireless sensor network,Maximum lifetime,Data aggregation,Intelligent algorithm