Abstract: Taking into account the data correlation between the adjacent nodes of the same region, an intra-cluster data aggregation mechanism based on the max-min approach degree principle was presented. The data from the non-cluster head nodes should be firstly checked in the cluster head to judge whether the data can be adopted according to the confidence interval and then will be aggregated in the next process. The experimental results showed that this method can effectively solve the problem that the collected data are inconsistent in the credibility degree, and can extend the network life