Using collective decision system support to manage error in wireless sensor fusion

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

4 Scopus citations

Abstract

When sensor fusion uses voting methods to produce collective decisions on the basis of incomplete and imperfect information that would be produced if voting information were perfect and complete, the collective outcomes will be error-resilient. These outcomes will not be changed by breakdowns in wireless network communications or decision making errors. Error-resilient collective outcome (ERCO) analysis makes it possible to predict how long to wait or how many votes to reach an optimal collective decision. ERCO analysis also provides a new framework for gaining strategic and tactical advantages from network-centric information sharing. This framework raises new theoretical and empirical research opportunities for integrating voting theory and fusion research.

Original languageEnglish (US)
Title of host publication2005 7th International Conference on Information Fusion, FUSION
PublisherIEEE Computer Society
Pages1605-1612
Number of pages8
ISBN (Print)0780392868, 9780780392861
DOIs
StatePublished - Jan 1 2005
Externally publishedYes
Event2005 8th International Conference on Information Fusion, FUSION - Philadelphia, PA, United States
Duration: Jul 25 2005Jul 28 2005

Publication series

Name2005 7th International Conference on Information Fusion, FUSION
Volume2

Conference

Conference2005 8th International Conference on Information Fusion, FUSION
CountryUnited States
CityPhiladelphia, PA
Period7/25/057/28/05

Keywords

  • Decision fusion
  • Error
  • Error-resilient
  • Voting systems
  • Wireless networks

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Urken, A. B. (2005). Using collective decision system support to manage error in wireless sensor fusion. In 2005 7th International Conference on Information Fusion, FUSION (pp. 1605-1612). [1592047] (2005 7th International Conference on Information Fusion, FUSION; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICIF.2005.1592047