Sequential Fusion for Distributed Detection Over BSC Channels in an Inhomogeneous Sensing Environment

In this work, we propose a sequential fusion scheme for distributed detection in an inhomogeneous sensing environment. More specifically, the transmissions of sensors are ordered according to the observation quality and the communication channel quality to reduce energy consumption in wireless senso...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 17; no. 1; pp. 99 - 102
Main Authors Yuh-Ren Tsai, Li-Cheng Lin
Format Journal Article
LanguageEnglish
Published IEEE 01.01.2010
Subjects
Acoustic sensors
Communication channels
Distributed detection
Energy consumption
Intrusion detection
Mutual information
Noise level
Probability
Sensor fusion
sequential fusion
wireless sensor network (WSN)
Wireless sensor networks
Working environment noise
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Summary:In this work, we propose a sequential fusion scheme for distributed detection in an inhomogeneous sensing environment. More specifically, the transmissions of sensors are ordered according to the observation quality and the communication channel quality to reduce energy consumption in wireless sensor networks. We devise the corresponding stopping and decision rules, as well as two transmission ordering rules, based on the log-likelihood ratio and mutual information, respectively. The simulation results demonstrate that the proposed scheme can reduce the required number of transmissions substantially, while achieving the same detection performance as the conventional maximum a posteriori probability fusion scheme.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2034552