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Self-stabilizing communication chanel based on context information

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

Abstract

This paper presents self-stabilizing statistical algorithm for validation and optimisation of communication channel. There is usually a need to transmit data describing some industrial process for purpose of archiving and/or remote evaluation of system performance quality. The communication selfstabilization is possible in multi-agent system (MAS) when certain data loss for remote user is acceptable. Communication overload especially in case of wireless transmission may cause unpredictable data loss. System may self-organize and reach some stable equilibrium point where communication load level and data loss is optimal. Perturbation in system usually does not change structure of the MAS but change equilibrium point that guarantees optimal performance.

Original languageEnglish
Title of host publication14th International Conference on Methods and Models in Automation and Robotics, MMAR'09 - Proceedings
PublisherIFAC Secretariat
Pages671-676
Number of pages6
EditionPART 1
ISBN (Print)9783902661555
DOIs
Publication statusPublished - 2009

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume14
ISSN (Print)1474-6670

Keywords

  • Context model
  • Kullback-Leibler divergence
  • Self-stabilization algorithm
  • System reconfiguration

ASJC Scopus subject areas

  • Control and Systems Engineering

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