Location Functions for Self-stabilizing Byzantine Tolerant Swarms

Yotam Ashkenazi, Shlomi Dolev, Sayaka Kamei, Yoshiaki Katayama, Fukuhito Ooshita, Koichi Wada

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

1 Scopus citations

Abstract

This paper proposes a novel framework to realize self-stabilizing Byzantine tolerant swarms. In this framework, non-Byzantine robots execute tasks while satisfying location functions, that is, the robots use a policy for their location choice, which restricts their location to satisfy the functions. We give a general Byzantine-resilient self-stabilizing algorithm based on the location function, and then provide an efficient implementation of the self-stabilizing algorithms for special classes of tasks, called polynomial-based tasks and shape-based tasks. We also demonstrate the usefulness of the proposed framework by implementing typical tasks of robots.

Original languageEnglish
Title of host publicationStabilization, Safety, and Security of Distributed Systems - 23rd International Symposium, SSS 2021, Proceedings
EditorsColette Johnen, Elad Michael Schiller, Stefan Schmid
PublisherSpringer Science and Business Media Deutschland GmbH
Pages229-242
Number of pages14
ISBN (Print)9783030910808
DOIs
StatePublished - 1 Jan 2021
Event23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021 - Virtual, Online
Duration: 17 Nov 202120 Nov 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13046 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Symposium on Stabilization, Safety, and Security of Distributed Systems, SSS 2021
CityVirtual, Online
Period17/11/2120/11/21

Keywords

  • Byzantine faults
  • Mobile robots
  • Self-stabilization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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