Title
Exponential error bounds for binary detection using arbitrary binary sensors and an all-purpose fusion rule in wireless sensor networks
Abstract
Wireless sensor networks are considered in which sensors convey binary decisions over fading channels to a common fusion center. The fusion center first takes each received signal and makes an estimate of the transmitted bit. The average of the estimated bits is compared to a threshold to make a global decision. Exponential error bounds are derived that allow one to trade off signal-to-noise ratio versus the number of sensors to achieve desired average error levels. An attractive feature of the bounds is that they do not require exact knowledge of the wireless channel statistics; approximations are sufficient.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4960200
ICASSP
Keywords
DocType
ISSN
wireless channel statistic,exact knowledge,fusion center,common fusion center,attractive feature,binary decision,wireless sensor network,exponential error bound,average error level,estimated bit,arbitrary binary sensor,binary detection,all-purpose fusion rule,computer networks,channel state information,wireless sensor networks,signal to noise ratio,random variables,sensor fusion,intelligent networks,fading channel,fading,sensors,signal detection,decoding,ultra wideband,error probability,statistical analysis
Conference
1520-6149
Citations 
PageRank 
References 
9
0.57
5
Authors
3
Name
Order
Citations
PageRank
John A. Gubner111911.14
Louis L. Scharf22525414.45
Edwin K. P. Chong31758185.45