文献类型：期刊文献

英文题名：Online weight design for distributed filtering with limited power

作者：Yang, Wen[1];Yang, Chao[1];Shi, Hongbo[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2017

卷号：11

期号：11

起止页码：1779

外文期刊名：IET CONTROL THEORY AND APPLICATIONS

收录：;EI(收录号：20172903943586);WOS:【SCI-EXPANDED(收录号:WOS:000405208800013)】；

基金：This work was supported by the National Natural Science Foundation of China under grant no. 61573143, the Fundamental Research Funds for Central Universities, the Innovation Program of Shanghai Municipal Education Commission under grant no. 14zz055.

语种：英文

外文关键词：wireless sensor networks; telecommunication scheduling; online weight design; distributed filtering; PageRank algorithm; network performance; online power scheduling method; distributed estimation problem; communication link; real-time estimation error

摘要：In this study, the authors consider distributed estimation over a sensor network with limited power. Based on PageRank algorithm, they propose a distributed estimator, where the link weight is designed using online information. They compared the network performance of the proposed estimator with time-varying weight and constant weight under identical initial conditions. To extend the lifetime of sensors, they introduce an online power scheduling method to distributed estimation problem, where each sensor allocates the power for the communication link based on real-time estimation error. They also provide a sufficient condition to guarantee the stability of the networked system with power scheduling.