Stand-up indulgent gathering on lines

IF 0.9 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Theoretical Computer Science Pub Date : 2024-08-22 DOI:10.1016/j.tcs.2024.114796
Quentin Bramas , Sayaka Kamei , Anissa Lamani , Sébastien Tixeuil
{"title":"Stand-up indulgent gathering on lines","authors":"Quentin Bramas ,&nbsp;Sayaka Kamei ,&nbsp;Anissa Lamani ,&nbsp;Sébastien Tixeuil","doi":"10.1016/j.tcs.2024.114796","DOIUrl":null,"url":null,"abstract":"<div><p>We consider a variant of the crash-fault gathering problem called stand-up indulgent gathering (SUIG). In this problem, a group of mobile robots must eventually gather at a single location, which is not known in advance. If no robots crash, they must all meet at the same location. However, if one or more robots crash at a single location, all non-crashed robots must eventually gather at that location. The SUIG problem was first introduced for robots operating in a two-dimensional continuous Euclidean space, with most solutions relying on the ability of robots to move a prescribed (real) distance at each time instant.</p><p>In this paper, we investigate the SUIG problem for robots operating in a discrete universe (i.e., a graph) where they can only move one unit of distance (i.e., to an adjacent node) at each time instant. Specifically, we focus on line-shaped networks and characterize the solvability of the SUIG problem for oblivious robots without multiplicity detection.</p></div>","PeriodicalId":49438,"journal":{"name":"Theoretical Computer Science","volume":"1016 ","pages":"Article 114796"},"PeriodicalIF":0.9000,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Computer Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304397524004134","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

We consider a variant of the crash-fault gathering problem called stand-up indulgent gathering (SUIG). In this problem, a group of mobile robots must eventually gather at a single location, which is not known in advance. If no robots crash, they must all meet at the same location. However, if one or more robots crash at a single location, all non-crashed robots must eventually gather at that location. The SUIG problem was first introduced for robots operating in a two-dimensional continuous Euclidean space, with most solutions relying on the ability of robots to move a prescribed (real) distance at each time instant.

In this paper, we investigate the SUIG problem for robots operating in a discrete universe (i.e., a graph) where they can only move one unit of distance (i.e., to an adjacent node) at each time instant. Specifically, we focus on line-shaped networks and characterize the solvability of the SUIG problem for oblivious robots without multiplicity detection.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
站立式放纵聚会
我们考虑的是碰撞故障聚集问题的一种变体,称为站立放纵聚集(SUIG)。在这个问题中,一组移动机器人最终必须聚集在一个事先不知道的地点。如果没有机器人发生碰撞,它们必须在同一地点集合。但是,如果一个或多个机器人在一个地点坠毁,所有未坠毁的机器人最终必须在该地点集合。SUIG 问题最初是针对在二维连续欧几里得空间中运行的机器人提出的,大多数解决方案都依赖于机器人在每个时间瞬间移动规定(实际)距离的能力。在本文中,我们研究了在离散宇宙(即图)中运行的机器人的 SUIG 问题,在离散宇宙中,机器人在每个时间瞬间只能移动一个单位的距离(即移动到相邻节点)。具体来说,我们将重点放在线形网络上,并描述了无多重性检测的遗忘机器人 SUIG 问题的可解性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
期刊最新文献
Editorial Board Editorial Board Towards strong regret minimization sets: Balancing freshness and diversity in data selection Adding direction constraints to the 1-2-3 Conjecture Chemical mass-action systems as analog computers: Implementing arithmetic computations at specified speed
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1