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Title: Source extraction in bandwidth constrained wireless sensor networks
Authors: Chen, H
Tse, CKM 
Feng, J
Issue Date: Sep-2008
Source: IEEE transactions on circuits and systems. II, Express briefs, Sept. 2008, v. 55, no. 9, p. 947-951
Abstract: Source extraction was traditionally done by sensor arrays. Recently, sensor networks have been considered as promising candidates for extraction of multiple sources. In a sensor network, each sensor observes an instantaneous linear mixture of the sources and their observations are corrupted by additive white Gaussian noise. Two sensor network models are adopted. The first one is cluster based, in which a sensor acts as cluster head and performs local extraction of the sources based on its own observation and the received quantized data from the cluster members. Then, the extracted signal is quantized and the quantized data are sent to the sink while the sink performs global extraction of the sources. The other one is cluster free, in which data collected by the sensors are quantized and sent to the sink directly. Then, the sink performs global extraction of the sources. The proposed schemes are evaluated against the benchmarking case where the sensor observations are undistorted.
Keywords: Blind source extraction
Distributed estimation
Wireless sensor network
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on circuits and systems. II, Express briefs 
ISSN: 1549-7747
EISSN: 1558-3791
DOI: 10.1109/TCSII.2008.924373
Rights: © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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