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arXiv 2602.05948cs.DCcs.DScs.MAcs.RO
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具有位置意识的匿名图上分散问题

Location-Aware Dispersion on Anonymous Graphs

Dhirubhai Ambani University(迪鲁巴希·阿姆巴尼大学);Kent State University(肯特州立大学)

Himani, Supantha Pandit, Gokarna Sharma

AI总结:

本文提出具有位置意识的匿名图分散问题,开发确定性算法并分析其可行性,揭示了与传统分散问题相比的挑战。

摘要:

已研究的DISPERSION问题是分布式机器人中的基本协调问题,其中一组移动机器人必须重新定位,使得每个机器人占据网络中的不同节点。DISPERSION假设只要没有其他机器人占据该节点,机器人可以停留在任何节点。在本工作中,我们引入了LOCATION-AWARE DISPERSION,这是DISPERSION的一个新泛化形式,结合了位置意识:设G=(V,E)为一个匿名、连通、无向图,有n=|V|个节点,每个节点被标记为一种颜色col(v)∈C={c₁,…,cₜ},t≤n。给定一组R={r₁,…,r_k}的k≤n个移动机器人,每个机器人r_i有一个关联的颜色col(r_i)∈C。初始位置任意放置在图上,目标是重新定位机器人,使得每个机器人占据同一颜色的节点。当|C|=1时,LOCATION-AWARE DISPERSION退化为DISPERSION。在任何k≤n的图中,存在解决DISPERSION的解决方案,无需知道k,n。与DISPERSION一样,目标是解决LOCATION-AWARE DISPERSION,最小化每个代理的时间和内存需求。我们开发了几个确定性算法,具有时间和服务器内存需求的保证界限。我们还给出了任何确定性算法解决LOCATION-AWARE DISPERSION的不可能性和下界。据我们所知,所呈现的结果共同确立了在匿名网络中LOCATION-AWARE DISPERSION的算法可行性,并突显了与DISPERSION解决方案相比获得高效解决方案的挑战。

英文摘要:

The well-studied DISPERSION problem is a fundamental coordination problem in distributed robotics, where a set of mobile robots must relocate so that each occupies a distinct node of a network. DISPERSION assumes that a robot can settle at any node as long as no other robot settles on that node. In this work, we introduce LOCATION-AWARE DISPERSION, a novel generalization of DISPERSION that incorporates location awareness: Let $G = (V, E)$ be an anonymous, connected, undirected graph with $n = |V|$ nodes, each labeled with a color $\sf{col}(v) \in C = \{c_1, \dots, c_t\}, t\leq n$. A set $R = \{r_1, \dots, r_k\}$ of $k \leq n$ mobile robots is given, where each robot $r_i$ has an associated color $\mathsf{col}(r_i) \in C$. Initially placed arbitrarily on the graph, the goal is to relocate the robots so that each occupies a distinct node of the same color. When $|C|=1$, LOCATION-AWARE DISPERSION reduces to DISPERSION. There is a solution to DISPERSION in graphs with any $k\leq n$ without knowing $k,n$. Like DISPERSION, the goal is to solve LOCATION-AWARE DISPERSION minimizing both time and memory requirement at each agent. We develop several deterministic algorithms with guaranteed bounds on both time and memory requirement. We also give an impossibility and a lower bound for any deterministic algorithm for LOCATION-AWARE DISPERSION. To the best of our knowledge, the presented results collectively establish the algorithmic feasibility of LOCATION-AWARE DISPERSION in anonymous networks and also highlight the challenges on getting an efficient solution compared to the solutions for DISPERSION.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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