On multiple access for distributed dependent sources: A content-based group testing approach

Yao Win Hong, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

In this paper we consider the multiple access problem with distributed dependent sources. We derive the optimal designs for the case of N correlated binary sources whose data are modelled as a two-state Markov chain. The solution can be classified as a group testing technique where data values at the sensors are determined through the successive refinements of the tests over smaller groups. The tests form, progressively, an accurate map of the sensor data at the central receiver. We derive the conditions on the parameters of the data model for which the group testing approach is superior to time sharing. In contrast to standard multiple access techniques, this is the first method proposed for data retrieval from distributed dependent sources which is content-based rather than user-based.

Original languageEnglish (US)
Title of host publication2004 IEEE Information Theory Workshop - Proceedings, ITW
Pages298-303
Number of pages6
StatePublished - Dec 1 2004
Externally publishedYes
Event2004 IEEE Information Theory Workshop - Proceedings, ITW - San Antonio, TX, United States
Duration: Oct 24 2004Oct 29 2004

Publication series

Name2004 IEEE Information Theory Workshop - Proceedings, ITW

Other

Other2004 IEEE Information Theory Workshop - Proceedings, ITW
CountryUnited States
CitySan Antonio, TX
Period10/24/0410/29/04

ASJC Scopus subject areas

  • Engineering(all)

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