Strategic communication in multi-agent systems

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

Abstract

This paper analyzes the strategic communication paradigm over a sensor network. We consider optimal communication strategies in a sensor network where each sensor is strategic and aims to maximize its own objective which involves type and source random variables. The objective of the receiver is to minimize the estimation error associated with the source. The orthogonal multiple access channel model and two notions of equilibrium, Nash and Herding equilibria, are considered. The optimal communication strategies achieving these equilibria and pay-offs at the equilibria are characterized. Numerical results obtained via simulations confirming the theoretical findings are presented.

Original languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1207-1211
Number of pages5
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
CountryUnited States
CityPacific Grove
Period11/6/1611/9/16

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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