Distributed Connected Dominating Sets in Unit Square and Disk Graphs

Barun Gorain, Kaushik Mondal, Supantha Pandit

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

Abstract

The Minimum Dominating Set (MDS) and Minimum Connected Dominating set (MCDS) problems are well-studied problems in the distributed computing communities due to their numerous applications across the field. We study these problems in axis-parallel unit square and unit disk graphs. We exploit the underlying geometric structures of these graph classes and present constant round distributed algorithms in the LOCAL communication model. Our results are distributed constant factor approximation algorithms for the MCDS problem in unit square graphs that run in 18 rounds and in unit disk graphs that run in 44 rounds. The message complexity is linear for both the algorithms.

Original languageEnglish
Title of host publicationTheory and Applications of Models of Computation - 17th Annual Conference, TAMC 2022, Proceedings
EditorsDing-Zhu Du, Donglei Du, Chenchen Wu, Dachuan Xu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages346-358
Number of pages13
ISBN (Print)9783031203497
DOIs
StatePublished - 1 Jan 2022
Externally publishedYes
Event17th Annual Conference on Theory and Applications of Models of Computation, TAMC 2022 - Virtual, Online
Duration: 16 Sep 202218 Sep 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13571 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Annual Conference on Theory and Applications of Models of Computation, TAMC 2022
CityVirtual, Online
Period16/09/2218/09/22

Keywords

  • Approximation algorithms
  • Axis-parallel unit square graphs
  • Distributed algorithms
  • Minimum connected dominating set
  • Minimum dominating set
  • Unit disk graphs

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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