• DocumentCode
    3321107
  • Title

    Energy-efficient connected d-hop dominating sets in wireless sensor networks

  • Author

    Nguyen, Trac N. ; Huynh, D.T.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at Dallas, Richardson, TX
  • fYear
    2009
  • fDate
    9-13 March 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In most applications involving wireless sensor networks (WSN), each sensor equipped with a battery collects data in the surrounding area, and forwards it for processing. Since the battery is irreplaceable, many researchers have investigated the issue of extending the network lifetime by reducing the total energy consumption by the network. A possible solution is to construct a backbone of a reasonable size for the network that consumes as little energy as possible. A common approach to construct a backbone for a WSN is to build a set of nodes such that every other node is close to a node in this set. Such a set is known as a dominating set in graph theory. In this paper, we study the problem of assigning minimum total power to a set of nodes in the plane yielding a graph containing a connected d-hop dominating set of bounded size. We prove that this problem is NP-complete. We also introduce several heuristics for this problem and discuss their performance through simulations.
  • Keywords
    computational complexity; graph theory; set theory; telecommunication network reliability; wireless sensor networks; NP-complete problem; energy-efficient connected d-hop dominating set; graph theory; network lifetime; total energy consumption; wireless sensor network; Energy efficiency; Wireless sensor networks; NP-completeness; connected dominating set; energy efficient; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2009. PerCom 2009. IEEE International Conference on
  • Conference_Location
    Galveston, TX
  • Print_ISBN
    978-1-4244-3304-9
  • Electronic_ISBN
    978-1-4244-3304-9
  • Type

    conf

  • DOI
    10.1109/PERCOM.2009.4912860
  • Filename
    4912860