无限网格中Weber会议节点的最优聚集

Subhash Bhagat, Abhinav Chakraborty, Bibhuti Das, K. Mukhopadhyaya
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引用次数: 1

摘要

集合在会议节点问题要求机器人在一个预定义的会议节点上集合。本文研究了关于目标函数的问题,该目标函数使所有机器人的移动总数最小化。换句话说,在完成收集任务时,所有机器人所走的距离总和是最小的。机器人被部署在一个匿名的二维无限网格的节点上,该网格的节点子集被标记为会议节点。机器人没有统一的全局坐标系统,在异步调度程序下运行。提出了一种确定性分布式算法对所有可解构型进行求解,并对问题不可解的初始构型进行了表征。所提出的收集算法相对于所有机器人完成的移动总数是最优的,以完成收集。
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Optimal Gathering Over Weber Meeting Nodes in Infinite Grid
The gathering over meeting nodes problem requires the robots to gather at one of the pre-defined meeting nodes. This paper investigates the problem with respect to the objective function that minimizes the total number of moves made by all the robots. In other words, the sum of the distances traveled by all the robots is minimized while accomplishing the gathering task. The robots are deployed on the nodes of an anonymous two-dimensional infinite grid which has a subset of nodes marked as meeting nodes. The robots do not agree on a global coordinate system and operate under an asynchronous scheduler. A deterministic distributed algorithm has been proposed to solve the problem for all those solvable configurations, and the initial configurations for which the problem is unsolvable have been characterized. The proposed gathering algorithm is optimal with respect to the total number of moves performed by all the robots in order to finalize the gathering.
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