关键词: 传感网络, 分布式估计, 一致性, 自适应

Abstract: To improve the estimation accuracy of distributed sensor networks, this paper proposes a new adaptive consensus algorithm. In each iteration of the algorithm, it requires only some nodes to work, that is monitoring target state. The consensus weight between the nodes is adjusted by exchange of binary information to make the weights connected to the nodes that observe the state greater. It combines the consensus algorithm with Kalman filter to estimate target state. A numerical example is given to illustrate the proposed algorithm and compared with other consistency weighted algorithm, it shows the effectiveness of this approach.

Key words: sensor networks, distributed estimation, consensus, adaptation