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Title Study on Decision Fusion in Wireless Sensor Networks under e-contaminated Gaussian Noise Channels
Degree MS
Author Jintae Park
Advisor Kiseon Kim
Graduation Date 2006.02.24 File
    Date 2013-09-11 20:50
Wireless sensor networks (WSNs) have become increasing popular due to their wide
range of applications including battle?eld surveillance, the environment, and structure
monitoring. Recent research interests on WSNs have mainly focused on energy e±cient
routing and media access control (MAC) protocols, distributed data compression and
transmission, and collaborative signal processing. In particular, the fusion algorithms,
especially decision fusion which is one of the challenging issues in collaborative signal
processing, has received considerable attention for WSNs. This is because of its energy
e±ciency and increment of overall system performance by utilizing multi-sensor infor-
mation fusion techniques. Hence, decision fusion has been considered as a promising
candidate to satisfy the requirements of WSNs.
The problems of decision fusion have been studied extensively, and numerous results
have been obtained in the past two decades. While most decision fusion algorithms
have been designed under additive white Gaussian noise (AWGN) channels, decision
fusion over non-Gaussian channels is worth consideration. This is because a wide range
of applications in WSNs might encounter various physical channels such as indoor radio
channels and underwater acoustic channels, which are known to be non-Gaussian with
impulsive noise characteristics which have a short pulse duration and high magnitude,
and cause serious performance degradation in wireless communication systems. These
facts give strong motivation to design decision fusion algorithms that consider the
e?ects of impulsive noise channels.
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