Title :
Decomposing Coverings and the Planar Sensor Cover Problem
Author :
Gibson, Matt ; Varadarajan, Kasturi
Author_Institution :
Dept. of Comput. Sci., Univ. of Iowa, Iowa City, IA, USA
Abstract :
We show that a k-fold covering using translates of an arbitrary convex polygon can be decomposed into Omega(k) covers (using an efficient algorithm). We generalize this result to obtain a constant factor approximation to the sensor cover problem where the ranges of the sensors are translates of a given convex polygon. The crucial ingredient in this generalization is a constant factor approximation algorithm for a one-dimensional version of the sensor cover problem, called the Restricted Strip Cover (RSC) problem, where sensors are intervals of possibly different lengths. Our algorithm for RSC improves on the previous O(log log log n) approximation.
Keywords :
computational geometry; sensors; arbitrary convex polygon; coverings decomposition; factor approximation algorithm; k-fold covering; planar sensor cover problem; restricted strip cover; Approximation algorithms; Batteries; Cities and towns; Computer science; Polynomials; Processor scheduling; Strips; USA Councils; Approximation Algorithms; Decomposing Multiple Coverings; Restricted Strip Cover; Sensor Cover;
Conference_Titel :
Foundations of Computer Science, 2009. FOCS '09. 50th Annual IEEE Symposium on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-5116-6
DOI :
10.1109/FOCS.2009.54