Stand-up indulgent gathering on lines

IF 0.9 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
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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.

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。
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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.
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