Minimum-Cost Coverage of Point Sets by Disks
Esther M. Arkin, Herve Broennimann, Jeff Erickson, Sandor P., Fekete, Christian Knauer, Jonathan Lenchner, Joseph S. B. Mitchell, and Kim Whittlesey

TL;DR
This paper studies geometric facility location problems involving covering demand points with disks of minimal cost, considering various constraints and cost functions, and provides new algorithms and complexity results.
Contribution
It introduces new algorithms and complexity results for covering points with disks under different constraints and cost functions, including approximation schemes and NP-hardness proofs.
Findings
Exact and approximation algorithms for line-constrained coverage.
Approximation algorithms and intractability results for optimal line placement.
NP-hardness of discrete point coverage for alpha>1.
Abstract
We consider a class of geometric facility location problems in which the goal is to determine a set X of disks given by their centers (t_j) and radii (r_j) that cover a given set of demand points Y in the plane at the smallest possible cost. We consider cost functions of the form sum_j f(r_j), where f(r)=r^alpha is the cost of transmission to radius r. Special cases arise for alpha=1 (sum of radii) and alpha=2 (total area); power consumption models in wireless network design often use an exponent alpha>2. Different scenarios arise according to possible restrictions on the transmission centers t_j, which may be constrained to belong to a given discrete set or to lie on a line, etc. We obtain several new results, including (a) exact and approximation algorithms for selecting transmission points t_j on a given line in order to cover demand points Y in the plane; (b) approximation…
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Taxonomy
TopicsComputational Geometry and Mesh Generation · 3D Shape Modeling and Analysis · Robotics and Sensor-Based Localization
