Time-optimal uniform scattering in a grid

Pavan Poudel, Gokarna Sharma
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引用次数: 24

Abstract

We consider the distributed setting of K = (k + 1) × (k + 1) autonomous mobile robots operating on a grid graph of N = (n + 1) × (n + 1) nodes with n = k · d, d ≥ 2, k ≥ 2, following Look-Compute-Move cycles and communicating with other robots using colored lights under the robots with lights model. We consider the uniform scattering problem of repositioning the robots on the nodes of the grid graph so that each robot reach to a static configuration in which they cover uniformly the grid. In this paper, we provide the first O(n) time algorithm for this problem for robots with lights in the fully synchronous setting, given that the robots have the common orientation, the knowledge of parameters n and k, and the visibility range of distance 2d. The best previously known algorithm solves this problem in O(N/d) (i.e., O(n2/d)) time under the classic oblivious robots model (with no lights) with the same capabilities in the asynchronous setting. Our algorithm is asymptotically time-optimal, since for any solution to this uniform scattering problem in both the classic and lights models, Ω(n) time is necessary. Moreover, the proposed algorithm is collision-free.
网格中时间最优均匀散射
在带灯机器人模型下,考虑K = (K + 1) × (K + 1)个自主移动机器人在N = (N + 1) × (N + 1)个节点(N = K·d, d≥2,K≥2)的网格图上运行的分布式设置,遵循Look-Compute-Move循环,并使用彩灯与其他机器人通信。我们考虑了在网格图节点上重新定位机器人的均匀散射问题,使每个机器人达到均匀覆盖网格的静态配置。在本文中,我们给出了在完全同步设置下带灯机器人的第一个O(n)时间算法,假设机器人具有共同的方向,参数n和k的知识,可见距离为2d。在经典遗忘机器人模型(无灯)下,已知的最佳算法在O(N/d)(即O(n2/d))时间内解决了这个问题,在异步设置中具有相同的功能。我们的算法是渐近时间最优的,因为对于经典模型和光模型中均匀散射问题的任何解,Ω(n)时间是必要的。此外,该算法是无碰撞的。
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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