@inproceedings{51e1f00c3757473ea6826c20012bb1d6,
title = "Uniformly Most Powerful Distributed Detection and its Application in Cooperative Spectrum Sensing",
abstract = " In this paper, a special class of distributed composite binary hypothesis testing problem with monotonic likelihood ratio is investigated. The sensor observations are assumed to be conditionally independent given a fixed but unknown parameter θ where θ ∈ Θ 1 under the H 1 hypothesis and θ = θ 0 under the H 0 hypothesis. The optimal form of sensor decision rule is established under both the Neyman-Pearson and Bayesian criteria. As an illustrative example, the design of an optimal cognitive radio rule for cooperative spectrum sensing is established.",
keywords = "Gaussian noise, cognitive radio, optimization, random variables, sensors, testing, wireless sensor networks",
author = "Hao Chen and Uri Rogers",
year = "2011",
doi = "10.1109/ACSSC.2011.6190304",
language = "American English",
isbn = "9781467303231",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
pages = "1674--1676",
booktitle = "2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)",
note = "45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 ; Conference date: 06-11-2011 Through 09-11-2011",
}