文献类型：期刊文献

英文题名：Sensor selection schemes for consensus based distributed estimation over energy constrained wireless sensor networks

作者：Yang, Wen[1];Shi, Hongbo

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

年份：2012

卷号：87

起止页码：132

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20122415111741);WOS:【SCI-EXPANDED(收录号:WOS:000303906100014)】；

基金：The authors would like to thank the associate editor and the anonymous reviewers for their helpful remarks that improved the presentation of the paper. This work was supported by the NSF of PR China under Grant No. 61074079, the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grants No. 20100074120010, and Shanghai Municipal Natural Science Foundation under No. 11ZR1409700.

语种：英文

外文关键词：Consensus problem; Distributed estimation; Sensor selection

摘要：In the applications of wireless sensor networks (WSNs), sensor energy saving is essential to increase the life of sensor networks. In this paper, we consider the problem of performing consensus based estimation over energy constrained WSNs, in which energy is conserved by selecting only a subset of sensors to observe the state of the dynamical system at each time step. First, we derive a sufficient condition for the convergence of the state estimation covariance. Then we propose a sensor selection strategy to schedule sensors to measure the system state for next step with the goal of minimizing the state estimation error subject to sensor energy constraint. Finally, we provide some numerical examples to illustrate the performance and effectiveness of the proposed strategy. (c) 2012 Elsevier B.V. All rights reserved.