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Gathering Anonymous, Oblivious Robots on a Grid

机译:在网格上收集匿名的,遗忘的机器人

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摘要

We consider a swarm of n autonomous mobile robots, distributed on a 2-dimensional grid. A basic task for such a swarm is the gathering process: All robots have to gather at one (not predefined) place. A common local model for extremely simple robots is the following: The robots do not have a common compass, only have a constant viewing radius, are autonomous and indistinguishable, can move at most a constant distance in each step, cannot communicate, are oblivious and do not have flags or states. The only gathering algorithm under this robot model, with known runtime bounds, needs O(n~2) rounds and works in the Euclidean plane. The underlying time model for the algorithm is the fully synchronous FSYNC model. On the other side, in the case of the 2-dimensional grid, the only known gathering algorithms for the same time and a similar local model additionally require a constant memory, states and "flags" to communicate these states to neighbors in viewing range. They gather in time O(n). In this paper we contribute the (to the best of our knowledge) first gathering algorithm on the grid that works under the same simple local model as the above mentioned Euclidean plane strategy, i.e., without memory (oblivious), "flags" and states. We prove its correctness and an O(n~2) time bound in the fully synchronous TSYNC time model. This time bound matches the time bound of the best known algorithm for the Euclidean plane mentioned above. We say gathering is done if all robots are located within a 2 x 2 square, because in FSYNC such configurations cannot be solved.
机译:我们考虑了n个自主移动机器人的群体,它们分布在二维网格上。这种群的基本任务是收集过程:所有机器人都必须收集在一个(未预定义的)地方。极其简单的机器人的通用本地模型如下:机器人没有通用的指南针,只有恒定的观察半径,自主且无区别,在每个步骤中最多可以移动恒定的距离,无法通信,不易察觉,并且没有标志或状态。在该机器人模型下,唯一的具有已知运行时范围的收集算法需要O(n〜2)次回合,并且可以在欧几里德平面上工作。该算法的基础时间模型是完全同步的FSYNC模型。另一方面,在二维网格的情况下,同时唯一已知的采集算法和相似的局部模型还需要恒定的内存,状态和“标志”,以将这些状态传达给可视范围内的邻居。他们在时间O(n)聚集。在本文中,我们(据我们所知)为网格上的第一个收集算法做出了贡献,该算法在与上述欧几里得平面策略相同的简单局部模型下工作,即没有内存(遗忘),“标志”和状态。在完全同步的TSYNC时间模型中,我们证明了它的正确性和O(n〜2)的时限。该时间范围与上述最著名的欧几里得平面算法的时间范围匹配。我们说如果所有机器人都位于2 x 2的正方形内,则表示已完成收集,因为在FSYNC中无法解决此类配置。

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