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Averaging approach for distributed event detection in wireless sensor networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We consider the problem of classifying among a set of M hypotheses via distributed noisy sensors. The sensors can collaborate over a communication network and the task is to arrive at a consensus about the event after exchanging messages. We reformulate the problem and apply distributed averaging algorithm as a strategy for collaboration to arrive at a solution, which is equivalent to the centralized maximum a posteriori (MAP) estimate. Some distributed averaging algorithms and strategies for choosing them are also introduced.

Original languageEnglish
Title of host publicationProceedings of 2nd International Conference on Interaction Sciences
Subtitle of host publicationInformation Technology, Culture and Human
Pages497-501
Number of pages5
DOIs
Publication statusPublished - 2009
Event2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009 - Seoul, Korea, Republic of
Duration: 24 Nov 200926 Nov 2009

Publication series

NameACM International Conference Proceeding Series
Volume403

Conference

Conference2nd International Conference on Interaction Sciences: Information Technology, Culture and Human, ICIS 2009
Country/TerritoryKorea, Republic of
CitySeoul
Period24/11/0926/11/09

Keywords

  • Collaborative framework
  • Distributed averaging
  • Event detection

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