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Efficient Dispersion of Mobile Agents without Global Knowledge

机译:没有全球知识的移动代理有效分散

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We consider the dispersion problem for mobile agents. Initially, k agents are located at arbitrary nodes in an undirected graph. Agents can migrate from node to node via an edge in the graph synchronously. Our goal is to let the k agents be located at different k nodes while minimizing the number of steps before dispersion is completed and the working memory space used by the agents. Kshemkalyani, Molla, and Sharma [ALGOSENSORS, 2019] present a fast and space-efficient dispersion algorithm with the assumption that each agent has global knowledge such as the number of edges and the maximum degree of a graph. In this paper, we present a dispersion algorithm that does not require such global knowledge but keeps the asymptotically same running time and slightly smaller memory space.
机译:我们考虑移动代理的分散问题。 最初,K代理位于无向图中的任意节点。 代理可以同步地通过图中的边缘从节点迁移到节点。 我们的目标是让K代理位于不同的k节点,同时最小化分散前完成的步数以及代理使用的工作存储空间。 Kshemkalyani,Molla和Sharma [Algosissors,2019]呈现了一种快速和空间高效的色散算法,假设每个代理具有全局知识,例如边缘的数量和图形的最大程度。 在本文中,我们介绍了一种不需要此类全局知识的色散算法,而是保持渐近的运行时间和稍微较小的内存空间。

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