| Minimum-cost coverage of point sets by disks |
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Annual Symposium on Computational Geometry
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Proceedings of the twenty-second annual symposium on Computational geometry
table of contents
Sedona, Arizona, USA
SESSION: Session 13 (wednesday, june 7th--4:40-5:40 pm)
table of contents
Pages: 449 - 458
Year of Publication: 2006
ISBN:1-59593-340-9
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Authors
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Helmut Alt
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Freie Universität Berlin, Berlin, Germany
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Esther M. Arkin
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Stony Brook University, Stony Brook, NY
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Hervé Brönnimann
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Polytechnic University, Brooklyn, NY
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Jeff Erickson
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University of Illinois, Urbana, IL
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Sándor P. Fekete
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Braunschweig University, Braunschweig, Germany
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Christian Knauer
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Freie Universität Berlin, Berlin, Germany
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Jonathan Lenchner
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IBM T. J. Watson Research, Yorktown Heights, NY
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Joseph S. B. Mitchell
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Stony Brook University, Stony Brook, NY
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Kim Whittlesey
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University of Illinois, Urbana, IL
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Downloads (6 Weeks): 6, Downloads (12 Months): 82, Citation Count: 2
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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 (tj) and radii (rj) that cover a given set of demand points Y∈R2 at the smallest possible cost. We consider cost functions of the form Εjf(rj), where f(r)=rα is the cost of transmission to radius r. Special cases arise for α=1 (sum of radii) and α=2 (total area); power consumption models in wireless network design often use an exponent α>2. Different scenarios arise according to possible restrictions on the transmission centers tj, 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 tj on a given line in order to cover demand points Y∈R2; (b) approximation algorithms (and an algebraic intractability result) for selecting an optimal line on which to place transmission points to cover Y; (c) a proof of NP-hardness for a discrete set of transmission points in R2 and any fixed α>1; and (d) a polynomial-time approximation scheme for the problem of computing a minimum cost covering tour (MCCT), in which the total cost is a linear combination of the transmission cost for the set of disks and the length of a tour/path that connects the centers of the disks.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 2
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Matt Gibson , Gaurav Kanade , Erik Krohn , Imran A. Pirwani , Kasturi Varadarajan, On clustering to minimize the sum of radii, Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms, p.819-825, January 20-22, 2008, San Francisco, California
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