Minimum Dominating Set Problem for Unit Disks Revisited

dc.contributor.authorCarmi, P.
dc.contributor.authorDas, G.K.
dc.contributor.authorJallu, R.K.
dc.contributor.authorNandy, S.C.
dc.contributor.authorPrasad, P.R.
dc.contributor.authorStein, Y.
dc.date.accessioned2026-02-05T09:33:39Z
dc.date.issued2015
dc.description.abstractIn this article, we study approximation algorithms for the problem of computing minimum dominating set for a given set S of n unit disks in R2. We first present a simple O(nlogk) time 5-factor approximation algorithm for this problem, where k is the size of the output. The best known 4-factor and 3-factor approximation algorithms for the same problem run in time O(n8logn) and O(n15logn) respectively [M. De, G. K. Das, P. Carmi and S. C. Nandy, Approximation algorithms for a variant of discrete piercing set problem for unit disks, Int. J. of Computational Geometry and Appl., 22(6):461-477, 2013]. We show that the time complexity of the in-place 4-factor approximation algorithm for this problem can be improved to O(n6logn). A minor modification of this algorithm produces a 143-factor approximation algorithm in O(n5logn) time. The same techniques can be applied to have a 3-factor and a 4513-factor approximation algorithms in time O(n11logn) and O(n10logn) respectively. Finally, we propose a very important shifting lemma, which is of independent interest, and it helps to present 52-factor approximation algorithm for the same problem. It also helps to improve the time complexity of the proposed PTAS for the problem. © 2015 World Scientific Publishing Company.
dc.identifier.citationInternational Journal of Computational Geometry and Applications, 2015, 25, 3, pp. 227-244
dc.identifier.issn2181959
dc.identifier.urihttps://doi.org/10.1142/S0218195915500132
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/26231
dc.publisherWorld Scientific
dc.subjectapproximation algorithm
dc.subjectMinimum dominating set
dc.subjectunit disk graph
dc.titleMinimum Dominating Set Problem for Unit Disks Revisited

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