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Minimizing the Maximum Moving Cost of Interval Coverage

机译:最小化间隔覆盖的最大移动成本

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In this paper, we study an interval coverage problem. We are given n intervals of the same length on a line L and a line segment B on L. Each interval has a nonnegative weight. The goal is to move the intervals along L such that every point of B is covered by at least one interval and the maximum moving cost of all intervals is minimized, where the moving cost of each interval is its moving distance times its weight. Algorithms for the "unweighted" version of this problem have been given before. In this paper, we present a first-known algorithm for this weighted version and our algorithm runs in O(n~2 log n log log n) time. The problem has applications in mobile sensor barrier coverage.
机译:在本文中,我们研究了区间覆盖问题。在线L和线段B上给我们n个长度相同的间隔。每个间隔的权重均为非负数。目的是沿L方向移动间隔,以使B的每个点至少被一个间隔覆盖,并使所有间隔的最大移动成本最小化,其中每个间隔的移动成本是其移动距离乘以其权重。以前已经给出了此问题的“未加权”版本的算法。在本文中,我们为该加权版本提出了一个众所周知的算法,该算法在O(n〜2 log n log log n)时间内运行。该问题已应用于移动传感器的障碍物覆盖范围。

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