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Power-Aware Collective Tree Exploration

机译:意识型集体树探索

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An n-node tree has to be explored by a group of k mobile robots deployed initially at the root. Robots traverse the edges of the tree until all nodes are visited. We would like to minimize maximal distance traveled by each robot (e.g. to preserve the battery power). First, we assume that a tree is known in advance. For this NP-hard problem we present a 2-approximation. Moreover, we present an optimal algorithm for a case where k is constant. From the 2-approximation algorithm we develop a fast 8-competitive online algorithm, which does not require a previous knowledge of the tree and collects information during the exploration. Furthermore, our online algorithm is distributed and uses only a local communication. We show a lower bound of 1.5 for the competitive ratio of any deterministic online algorithm.
机译:最初部署在根目录的k个移动机器人必须探索n节点树。机器人会遍历树的边缘,直到访问了所有节点。我们希望最小化每个机器人的最大行驶距离(例如,以节省电池电量)。首先,我们假设一棵树是事先已知的。对于这个NP难题,我们提出一个2近似值。此外,我们针对k恒定的情况提出了一种最佳算法。通过2逼近算法,我们开发了一种快速的8竞争在线算法,该算法不需要先前的树知识,并且在探索过程中收集信息。此外,我们的在线算法是分布式的,仅使用本地通信。对于任何确定性在线算法,我们的竞争比下限为1.5。

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