Novel algorithms for distributed sequential hypothesis testing

Jithin, KS and Sharma, Vinod (2011) Novel algorithms for distributed sequential hypothesis testing. In: 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 28-30 Sept. 2011, Monticello, IL.

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Abstract

This paper considers sequential hypothesis testing in a decentralized framework. We start with two simple decentralized sequential hypothesis testing algorithms. One of which is later proved to be asymptotically Bayes optimal. We also consider composite versions of decentralized sequential hypothesis testing. A novel nonparametric version for decentralized sequential hypothesis testing using universal source coding theory is developed. Finally we design a simple decentralized multihypothesis sequential detection algorithm.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright of this article belongs to IEEE.
Keywords:	Distributed Detection; Multihypothesis Testing; Sequential Hypothesis Testing; Universal Source Coding
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	28 Mar 2013 06:41
Last Modified:	28 Mar 2013 06:41
URI:	http://eprints.iisc.ac.in/id/eprint/46123

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