• DocumentCode
    623704
  • Title

    Approximations for Minimum Connected Sensor Cover

  • Author

    Lidong Wu ; Hongwei Du ; Weili Wu ; Deying Li ; Jing Lv ; Wonjun Lee

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX, USA
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    1187
  • Lastpage
    1194
  • Abstract
    Given a requested area, the Minimum Connected Sensor Cover problem is to find a minimum number of sensors such that their communication ranges induce a connected graph and their sensing ranges cover the requested area. Several polynomial-time approximation algorithms have been designed previously in the literature. Their best known performance ratio is O(r ln n) where r is the link radius of the sensor network and n is the number of sensors. In this paper, we will present two polynomial-time approximation algorithms. The first one is a random algorithm, with probability 1 - ε, producing an approximation solution with performance ratio O(log3 n log log n), independent from r. The second one is a deterministic approximation with performance ratio O(r), independent from n.
  • Keywords
    approximation theory; computational complexity; deterministic algorithms; graph theory; wireless sensor networks; connected graph; deterministic approximation algorithm; link radius; minimum connected sensor cover; polynomial-time approximation algorithms; probability 1-ε algorithm; random algorithm; wireless sensor network; Algorithm design and analysis; Approximation algorithms; Approximation methods; Educational institutions; Measurement; Sensors; Steiner trees;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2013 Proceedings IEEE
  • Conference_Location
    Turin
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-5944-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2013.6566910
  • Filename
    6566910