Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/111303
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Type: Journal article
Title: Energy-efficient distributed filtering in sensor networks: a unified switched system approach
Author: Zhang, D.
Shi, P.
Zhang, W.
Yu, L.
Citation: IEEE Transactions on Cybernetics, 2017; 47(7):1618-1629
Publisher: IEEE
Issue Date: 2017
ISSN: 2168-2267
2168-2275
Statement of
Responsibility: 
Dan Zhang, Peng Shi, Wen-An Zhang, Li Yu
Abstract: This paper is concerned with the energy-efficient distributed filtering in sensor networks, and a unified switched system approach is proposed to achieve this goal. For the system under study, the measurement is first sampled under nonuniform sampling periods, then the local measurement elements are selected and quantized for transmission. Then, the transmission rate is further reduced to save constrained power in sensors. Based on the switched system approach, a unified model is presented to capture the nonuniform sampling, the measurement size reduction, the transmission rate reduction, the signal quantization, and the measurement missing phenomena. Sufficient conditions are obtained such that the filtering error system is exponentially stable in the mean-square sense with a prescribed H∞ performance level. Both simulation and experiment studies are given to show the effectiveness of the proposed new design technique.
Keywords: Distributed filtering; energy-efficient; H∞ filtering; sensor networks; switched system
Rights: © 2017, IEEE
RMID: 0030082098
DOI: 10.1109/TCYB.2016.2553043
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
http://purl.org/au-research/grants/arc/LE150100079
Appears in Collections:Computer Science publications

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