多边形的多重覆盖最小化面积总和

A. K. Abu-Affash, Paz Carmi, M. J. Katz, G. Morgenstern
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引用次数: 18

摘要

我们考虑了传感器网络设计中出现的几何优化问题。给定一个有n个顶点的多边形P(可能有洞),一个由m个点代表传感器的集合Y,和一个整数k, 1≤k≤m。目标是为每个传感器yi∈Y分配一个传感范围ri,使得每个点P∈P被至少k个传感器覆盖,并且分配的成本Σi rαi最小,其中α是一个常数。在本文中,我们假设α = 2,即找到一组以Y点为中心的圆盘,使得(i) P上的每个点至少有k个圆盘覆盖,(ii)圆盘面积的总和最小。对于任意常数k≥1,我们给出了该问题的多项式时间c1逼近算法,其中c1 = c1(k)为常数。离散的版本,一个人必须覆盖给定的n个点的集合,X,由以Y点为中心的圆盘,作为一个子问题出现。对于这个问题,我们提出了一个多项式时间的c2逼近算法,其中c2 = c2(k)是常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi Cover of a Polygon Minimizing the Sum of Areas
We consider a geometric optimization problem that arises in sensor network design. Given a polygon P (possibly with holes) with n vertices, a set Y of m points representing sensors, and an integer k, 1 ≤ k ≤ m. The goal is to assign a sensing range, ri, to each of the sensors yi ∈ Y, such that each point p ∈ P is covered by at least k sensors, and the cost, Σi rαi, of the assignment is minimized, where α is a constant. In this paper, we assume that α = 2, that is, find a set of disks centered at points of Y, such that (i) each point in P is covered by at least k disks, and (ii) the sum of the areas of the disks is minimized. We present, for any constant k ≥ 1, a polynomial-time c1-approximation algorithm for this problem, where c1 = c1(k) is a constant. The discrete version, where one has to cover a given set of n points, X, by disks centered at points of Y, arises as a subproblem. We present a polynomial-time c2-approximation algorithm for this problem, where c2 = c2(k) is a constant.
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