• DocumentCode
    1697523
  • Title

    Minimizing energy and maximizing network lifetime multicasting in wireless ad hoc networks

  • Author

    Liang, Weifa

  • Author_Institution
    Dept. of Comput. Sci., Australian Nat. Univ., Canberra, ACT, Australia
  • Volume
    5
  • fYear
    2005
  • Firstpage
    3375
  • Abstract
    Most mobile nodes in a wireless ad hoc network are powered by energy limited batteries; the limited battery lifetime imposes a constraint on the network performance. Therefore, energy efficiency is of paramount importance in the design of routing protocols for the applications in such a network, and efficient operations are critical to enhance the network lifetime. In this paper we consider energy-efficient routing for minimizing energy and maximizing the network lifetime multicast problem in ad hoc networks. We aim to construct a multicast tree rooted at the source and spanning the destination nodes such that the minimum residual battery energy (also referred to the network lifetime) among the nodes in the network is maximized and the total transmission energy consumption is minimized. Due to the NP-hardness of the concerned problem, all previously proposed algorithms for it are heuristic algorithms, and there is little known about the analytical performance of these algorithms in terms of approximation ratios. We here focus on devising approximation algorithms for the problem with provably guaranteed approximation ratios. Specifically, we present an approximation algorithm for finding a multicast tree such that the total transmission energy consumption is no more than γ times the optimum, under the constraint that the network lifetime is no less than β times the optimum, where γ is either 4 ln K or O (Kε), depending on whether the network is symmetric or not, ε and β are constants with 0 < ε, β ≤ 1, and K is the number of destination nodes in a multicast session.
  • Keywords
    ad hoc networks; multicast protocols; optimisation; power consumption; routing protocols; trees (mathematics); approximation ratios; energy-efficient routing; heuristic algorithms; minimum residual battery energy; mobile nodes; multicast tree; network lifetime multicasting maximization; routing protocols; wireless ad hoc networks; Ad hoc networks; Approximation algorithms; Batteries; Energy consumption; Energy efficiency; Heuristic algorithms; Mobile ad hoc networks; Multicast algorithms; Performance analysis; Routing protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2005. ICC 2005. 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-8938-7
  • Type

    conf

  • DOI
    10.1109/ICC.2005.1495047
  • Filename
    1495047