Differentiated Consensuses in Decentralized Load Balancing Problem with Randomized Topology, Noise, and Delays

Natalia Amelina, Oleg Granichin, Olga Granichina, Yuming Jiang

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

13 Scopus citations

Abstract

In this paper, a new consensus problem, termed differentiated consensuses, is studied. This consensus problem is that, in a system with multiple classes, consensus is targeted for each class, which may be different among classes. Specifically, we investigate differentiated consensuses in a distributed stochastic network system of nodes (or agents), where tasks, classified with different priorities, are serviced. The network system is assumed to have switched topology, noise and delay in measurement, and cost on the topology. The goal is to reach/maintain balanced (equal) load, i.e. consensus, across the network and at the same time to meet the topology cost constraint, both for every priority class. A control protocol is proposed. We prove that the proposed control protocol is able to meet the topology cost constraint and achieve approximate consensus for each of the priority classes in the network.

Original languageEnglish
Title of host publication2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC)
PublisherIEEE Canada
Pages6969-6974
Number of pages6
Volume2015-February
EditionFebruary
DOIs
StatePublished - 2014
Event53rd IEEE Annual Conference on Decision and Control (CDC) - Los Angeles, Canada
Duration: 15 Dec 201417 Dec 2014

Publication series

NameProceedings of the IEEE Conference on Decision and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISSN (Print)0743-1546

Conference

Conference53rd IEEE Annual Conference on Decision and Control (CDC)
CountryCanada
CityLos Angeles
Period15/12/1417/12/14

Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Keywords

  • SENSOR NETWORKS
  • INFORMATION

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