文献类型：期刊文献

英文题名：Online Power Scheduling for Distributed Filtering Over an Energy-Limited Sensor Network

作者：Yang, Wen[1];Zhang, Yu[1];Yang, Chao[1];Zuo, Zongyu[2];Wang, Xiaofan[3]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Beihang Univ, Res Div 7, Sci & Technol Aircraft Control Lab, Beijing 100191, Peoples R China;[3]Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200234, Peoples R China

年份：2018

卷号：65

期号：5

起止页码：4216

外文期刊名：IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

收录：;EI(收录号：20174104260339);WOS:【SCI-EXPANDED(收录号:WOS:000422930000056)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61573143, Grant 61503139, Grant 61673034, Grant 61374176, and Grant 61773255 and in part by the Programme of Introducing Talents of Discipline to Universities (111 Project) under Grant B17017.

语种：英文

外文关键词：Distributed estimation; modified algebraic Riccati equation; power allocation; wireless sensor network

摘要：In this paper, the problem of power allocation is considered for distributed estimation over a wireless sensor network with limited power. To utilize the power efficiently, an online power scheduling scheme is proposed for consensus-based distributed filtering, where each communication channel is allocated a certain power based on the real-time innovation of the sensor who transmits the data. First, the Gaussian property of the innovations is investigated under the online power scheduling scheme, and an optimal estimator gain is obtained for each sensor by minimizing the state estimation error covariance. Then, a sufficient condition to guarantee the stability of the proposed estimator equipped with the online power allocation scheme is identified, which provides a lower bound of the power needed to guarantee that all the sensors could achieve a given estimation accuracy. Finally, the estimation performance of different power scheduling schemes are compared, and the theoretical results are verified by numerical examples.