Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21481
Title: Source extraction in a bandwidth constrained wireless sensor network
Authors: Chen, H
Tse, CK 
Feng, J
Keywords: Cluster
Correlation coefficient
Quantization
Sensor network
Source extraction
Issue Date: 2007
Source: International Symposium on Performance Evaluation of Computer and Telecommunication Systems 2007, SPECTS'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07, 2007, p. 69-75 How to cite?
Abstract: In this paper, we propose a blind source extraction scheme in a bandwidth constrained wireless sensor network.We consider the extraction of multiple source signals in a sensing field. Each sensor observes a linear mixture of the source signals and their observations are corrupted by additive white Gaussian noise (AWGN). First a sensor in the network acts as a cluster head and performs local extraction of the source signals using a fast fixed-point algorithmbased on its own observation and the received noisy quantized data from other sensors. Then, the extracted signals are quantized using a pulse code modulation (PCM) method and the quantized data are sent to the sink in a multi-hop way through a fading channel. Finally the sink performs global extraction of the source signals using a constant modulus algorithm(CMA) and PCM decoding. In order to improve the accuracy of source extraction, a multi-cluster structure is also proposed. Simulation results confirm effective extraction of the source signals by comparing with the case of source extraction without quantization of the sensed data.
Description: International Symposium on Performance Evaluation of Computer and Telecommunication Systems 2007, SPECTS 2007, Part of the 2007 Summer Simulation Multiconference, SummerSim 2007, San Diego, CA, 15-18 July 2007
URI: http://hdl.handle.net/10397/21481
ISBN: 9781622763559
Appears in Collections:Conference Paper

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