Forgive and forget: Self‐stabilizing swarms in spite of Byzantine robots. (30th November 2020)

• Record Type: Journal Article
• Authors: Ashkenazi, Yotam; Dolev, Shlomi; Kamei, Sayaka; Ooshita, Fukuhito; Wada, Koichi
• Other Names: Bordin Jacir Luiz guestEditor.; Ito Yasuaki guestEditor.; Wakrime Abderrahim Ait guestEditor.; Sellami Mohamed guestEditor.; Halima Riadh Ben guestEditor.
• Is Part Of: Concurrency and computation. Volume 35:Number 11(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-11-30
• Subjects: Byzantine robots -- distributed algorithms -- self‐stabilizing algorithms; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.6123
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: In this article, we consider the case in which a swarm of robots collaborates in a mission, where a few of the robots behave maliciously. These malicious Byzantine robots may be temporally or constantly controlled by an adversary. The scope is synchronized full information robot operations, where a robot that does not follow the program/policy of the swarm is immediately identified and can be remembered as Byzantine. As robots may be suspected of being Byzantine due to benign temporal malfunctions, it is imperative to forgive and forget, otherwise, a robot cannot assume collaborative actions with any other robot in the swarm. Still, remembering for a while may facilitate a policy of surrounding, isolating and freezing the movement of the misbehaving robots, by several robots, allowing the rest to perform the swarm task with no intervention. We demonstrate the need to periodically forgive and forget to realize swarm several tasks including patrolling/cleaning in the presence of possible Byzantine robots. The policy for achieving the task consists of blocking the movement of the Byzantine robot(s) by some of the robots, while the rest patrol/clean the plane.