Convergence analysis of consensus belief functions within asynchronous ad-hoc fusion networks

Thanuka L. Wickramrathne, Kamal Premaratne, Manohar N. Murthiy

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

7 Scopus citations

Abstract

In a multi-agent data fusion scenario, agents may iteratively exchange their states to arrive at a consensus state which signifies 'general agreement' among the agents. Agent states that are being exchanged may have been generated from hard (i.e., physics based) or soft (i.e., human based evidence. such as opinions or beliefs regarding an event) sensors. Convergence analysis becomes an extremely challenging problem in such complex fusion environments, which may involve communication delays, ad-hoc paths, etc. In this paper, we analyze consensus of a Dempster-Shafer theoretic (DST) fusion operator by formulating the consensus problem as finding common fixed points of a pool of paracontracting operators. Due to its DST basis, this consensus protocol can deal with a wider variety of data imperfections characteristic of hard+soft data fusion environments. It also easily adapts itself to networks where agent states are captured with probability mass functions because they can be considered a special case of DST models.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages3612-3616
Number of pages5
DOIs
StatePublished - Oct 18 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: May 26 2013May 31 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
CountryCanada
CityVancouver, BC
Period5/26/135/31/13

Keywords

  • Consensus
  • data fusion
  • Dempster-Shafer theory
  • multi-agent systems
  • paracontracting operators

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

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