Decentralized Detection in Wireless Sensor Networks with Channel Fading Statistics

<p/> <p>Existing channel aware signal processing design for decentralized detection in wireless sensor networks typically assumes the clairvoyant case, that is, global channel state information (CSI) is known at the design stage. In this paper, we consider the distributed detection probl...

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Main Authors: Liu Bin, Chen Biao
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2007/062915
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author Liu Bin
Chen Biao
author_facet Liu Bin
Chen Biao
author_sort Liu Bin
collection DOAJ
description <p/> <p>Existing channel aware signal processing design for decentralized detection in wireless sensor networks typically assumes the clairvoyant case, that is, global channel state information (CSI) is known at the design stage. In this paper, we consider the distributed detection problem where only the channel fading statistics, instead of the instantaneous CSI, are available to the designer. We investigate the design of local decision rules for the following two cases: (1) fusion center has access to the instantaneous CSI; (2) fusion center does not have access to the instantaneous CSI. As expected, in both cases, the optimal local decision rules that minimize the error probability at the fusion center amount to a likelihood ratio test (LRT). Numerical analysis reveals that the detection performance appears to be more sensitive to the knowledge of CSI at the fusion center. The proposed design framework that utilizes only partial channel knowledge will enable distributed design of a decentralized detection wireless sensor system.</p>
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spelling doaj.art-32dbc71a487c44d190bd03c90375e2b92022-12-21T21:17:45ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992007-01-0120071062915Decentralized Detection in Wireless Sensor Networks with Channel Fading StatisticsLiu BinChen Biao<p/> <p>Existing channel aware signal processing design for decentralized detection in wireless sensor networks typically assumes the clairvoyant case, that is, global channel state information (CSI) is known at the design stage. In this paper, we consider the distributed detection problem where only the channel fading statistics, instead of the instantaneous CSI, are available to the designer. We investigate the design of local decision rules for the following two cases: (1) fusion center has access to the instantaneous CSI; (2) fusion center does not have access to the instantaneous CSI. As expected, in both cases, the optimal local decision rules that minimize the error probability at the fusion center amount to a likelihood ratio test (LRT). Numerical analysis reveals that the detection performance appears to be more sensitive to the knowledge of CSI at the fusion center. The proposed design framework that utilizes only partial channel knowledge will enable distributed design of a decentralized detection wireless sensor system.</p>http://jwcn.eurasipjournals.com/content/2007/062915
spellingShingle Liu Bin
Chen Biao
Decentralized Detection in Wireless Sensor Networks with Channel Fading Statistics
EURASIP Journal on Wireless Communications and Networking
title Decentralized Detection in Wireless Sensor Networks with Channel Fading Statistics
title_full Decentralized Detection in Wireless Sensor Networks with Channel Fading Statistics
title_fullStr Decentralized Detection in Wireless Sensor Networks with Channel Fading Statistics
title_full_unstemmed Decentralized Detection in Wireless Sensor Networks with Channel Fading Statistics
title_short Decentralized Detection in Wireless Sensor Networks with Channel Fading Statistics
title_sort decentralized detection in wireless sensor networks with channel fading statistics
url http://jwcn.eurasipjournals.com/content/2007/062915
work_keys_str_mv AT liubin decentralizeddetectioninwirelesssensornetworkswithchannelfadingstatistics
AT chenbiao decentralizeddetectioninwirelesssensornetworkswithchannelfadingstatistics