计算机工程与应用2016，Vol.52Issue(6)：86-89,98,5.DOI:10.3778/j.issn.1002-8331.1403-0331
分布式传感网络的自适应一致性算法
Adaptive consensus algorithm for distributed sensor network
摘要
Abstract
To improve the estimation accuracy of distributed sensor networks, this paper proposes a new adaptive consen-sus 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 nu-merical example is given to illustrate the proposed algorithm and compared with other consistency weighted algorithm, it shows the effectiveness of this approach.关键词
传感网络/分布式估计/一致性/自适应Key words
sensor networks/distributed estimation/consensus/adaptation分类
信息技术与安全科学引用本文复制引用
田凡凡,崔宝同,楼旭阳..分布式传感网络的自适应一致性算法[J].计算机工程与应用,2016,52(6):86-89,98,5.基金项目
国家自然科学基金（No.61174021）。 （）
