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A Tight Runtime Bound for Synchronous Gathering of Autonomous Robots with Limited Visibility

机译:可见性有限的自治机器人同步聚集的严格运行时限

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The problem of gathering n autonomous robots in the Euclidean plane at one (not predefined) point is well-studied under various restrictions on the capabilities of the robots and in several time models. However, only very few runtime bounds are known. We consider the scenario of local algorithms in which the robots can only observe their environment within a fixed viewing range and have to base their decision where to move in the next step solely on the relative positions of the robots within their viewing range. Such local algorithms have to guarantee that the (initially connected) unit disk graph defined by the viewing range of the robots stays connected at all times. In this paper, we focus on the synchronous setting in which all robots are activated concurrently. Ando et al. [2] presented an algorithm where a robot essentially moves to the center of the smallest enclosing circle of the robots in its viewing range and showed that this strategy performs gathering of the robots in finite time. However, no bounds on the number of rounds needed by the algorithm are known. We present a lower bound of Ω(n2) for the number of rounds as well as a matching upper bound of O(n2) and thereby obtain a tight runtime analysis of the algorithm of Θ(n2).
机译:在对机器人能力的各种限制和多个时间模型中,对在一个(未预定义)点的n个欧陆式飞机上聚集n个自主机器人的问题进行了充分研究。但是,只有很少的运行时范围是已知的。我们考虑了局部算法的场景,其中机器人只能在固定的观察范围内观察其环境,而必须仅根据机器人在其观察范围内的相对位置来决定下一步移动的位置。这种本地算法必须确保由机器人的可视范围定义的(初始连接的)单位磁盘图始终保持连接状态。在本文中,我们专注于同步设置,在该设置中,同时激活所有机器人。安藤等。文献[2]提出了一种算法,其中,机器人实际上在其可视范围内移动到机器人最小包围圈的中心,并表明该策略可以在有限时间内执行机器人的搜集。但是,算法所需的回合数没有界限。我们给出了轮数的Ω(n2)的下界以及O(n2)的匹配上限,从而获得了Θ(n2)算法的严格运行时分析。

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