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Polynomial-time approximation schemes for piercing and covering with applications in wireless networks
Authors:Paz Carmi  Matthew J Katz  Nissan Lev-Tov  
Institution:

aDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel

Abstract:Let View the MathML source be a set of disks of arbitrary radii in the plane, and let View the MathML source be a set of points. We study the following three problems: (i) Assuming View the MathML source contains the set of center points of disks in View the MathML source, find a minimum-cardinality subset View the MathML source of View the MathML source (if exists), such that each disk in View the MathML source is pierced by at least h points of View the MathML source, where h is a given constant. We call this problem minimum h-piercing. (ii) Assuming View the MathML source is such that for each View the MathML source there exists a point in View the MathML source whose distance from D's center is at most αr(D), where r(D) is D's radius and 0less-than-or-equals, slantα<1 is a given constant, find a minimum-cardinality subset View the MathML source of View the MathML source, such that each disk in View the MathML source is pierced by at least one point of View the MathML source. We call this problem minimum discrete piercing with cores. (iii) Assuming View the MathML source is the set of center points of disks in View the MathML source, and that each View the MathML source covers at most l points of View the MathML source, where l is a constant, find a minimum-cardinality subset View the MathML source of View the MathML source, such that each point of View the MathML source is covered by at least one disk of View the MathML source. We call this problem minimum center covering. For each of these problems we present a constant-factor approximation algorithm (trivial for problem (iii)), followed by a polynomial-time approximation scheme. The polynomial-time approximation schemes are based on an adapted and extended version of Chan's T.M. Chan, Polynomial-time approximation schemes for packing and piercing fat objects, J. Algorithms 46 (2003) 178–189] separator theorem. Our PTAS for problem (ii) enables one, in practical cases, to obtain a (1+ε)-approximation for minimum discrete piercing (i.e., for arbitrary View the MathML source).
Keywords:Geometric optimization  Approximation algorithms  Discrete piercing  Covering  Wireless networks
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