Data aggregation used for congestion control in WSN based on similar degree reduction

A data aggregation preprocessing algorithm for congestion control in wireless sensor networks is proposed in this paper. The algorithm decrease the repeating packet of nodes by reducing data of multiple group sensing data which belongs to a aggregation cycle with similar coefficient, thus can ease congestion of the networks. The experimental results show that this algorithm can reduce communication traffic load of network effectively, and data after similar aggregation processing and truth value can maintain higher coincidence degree.