• DocumentCode
    1964645
  • 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
  • fYear
    2009
  • fDate
    25-27 Oct. 2009
  • Firstpage
    159
  • Lastpage
    168
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computer Science, 2009. FOCS '09. 50th Annual IEEE Symposium on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0272-5428
  • Print_ISBN
    978-1-4244-5116-6
  • Type

    conf

  • DOI
    10.1109/FOCS.2009.54
  • Filename
    5438637