关键词: 无线传感器网络, 卡尔曼滤波, 分布递阶信息融合

Abstract: A distributed hierarchical information fusion algorithm is proposed in wireless sensor network.In the source，the Kalman filtering and signal processing methods are used to reduce the power consumption and data collision.In the sink，the dynamic weighted fusion algorithm based on linear minimum variance sense is adopted.This method is minimize the overall power consumption and the probability of collision in the network as well.A simple example is performed to verify the effectivity and reliability of this method.

Key words: wireless sensor networks, Kalman filtering, distributed hierarchical information fusion