Abstract: The nodes of wireless sensor networks (WSNs) are extremely power constrained, so energy-efficient data management and prolonging the networks lifetime are the major challenges in this researching area. With node calculation and analysis function, a cluster data management algorithm based on data correlation is presented for the network formed with clusters. Cluster head analyzes its member data correlation using error function and fuzzy function, and gains the integrative supportabilities of its members$'$ sensing data. Based on the integrative supportabilities, the members of the cluster are classified as conflict nodes, complementary nodes and reliable nodes, and the related nodes scheduling rules for the different types are given to reduce the energy consumption of the cluster and balance the energy consumption among members, and the data fusion mechanism of the cluster head is given. The simulation results demonstrate that the presented algorithm can realize the cluster data classification management, reduce the amount of the data transmission, and prolong the network lifetime.