Title :
Error exponents for decentralized detection in feedback architectures
Author :
Tay, Wee Peng ; Tsitsiklis, John N.
Author_Institution :
Divison of Communication Engineering, Nanyang Technological University, 50, Singapore 639798
Abstract :
We consider the decentralized Bayesian binary hypothesis testing problem in feedback architectures, in which the fusion center broadcasts information based on the messages of some sensors to some or all sensors in the network. We show that the asymptotically optimal detection performance (as quantified by error exponents) does not benefit from the feedback messages. In addition, we determine the corresponding optimal error exponents.
Keywords :
Bayesian methods; Error probability; Quantization; Random variables; Sensor fusion; Vegetation; Decentralized detection; error exponent; feedback; sensor networks;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Conference_Location :
Prague, Czech Republic
Print_ISBN :
978-1-4577-0538-0
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2011.5946991
