• DocumentCode
    843779
  • Title

    Minimum-energy multicast in wireless ad hoc networks with adaptive antennas: MILP formulations and heuristic algorithms

  • Author

    Guo, Song ; Yang, Oliver

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada
  • Volume
    5
  • Issue
    4
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    333
  • Lastpage
    346
  • Abstract
    In this paper, we consider wireless ad hoc networks that use adaptive antennas and have limited energy resources. To explore the advantages of power saving offered by the use of adaptive antennas, we consider the case of source initiated multicast traffic. We present a constraint formulation for the MEM (Minimum-Energy Multicast) problem in terms of MILP (Mixed Integer Linear Programming) for wireless ad hoc networks. An optimal solution to the MEM problem using our MILP model can always be obtained in a timely manner for moderately sized networks. In addition to the theoretical effort, we also present two polynomial-time heuristic algorithms called RB-MIDP and D-MIDP to handle larger networks for which the MILP model may not be computationally efficient. The experimental results show that our algorithms compare well with other proposals discussed in this paper.
  • Keywords
    ad hoc networks; adaptive antenna arrays; integer programming; linear programming; adaptive antennas; energy resources; minimum-energy multicast; mixed integer linear programming; multicast traffic; two polynomial-time heuristic algorithms; wireless ad hoc networks; Adaptive arrays; Adaptive systems; Energy resources; Heuristic algorithms; Mixed integer linear programming; Mobile ad hoc networks; Multicast algorithms; Polynomials; Telecommunication traffic; Traffic control; Wireless ad hoc networks; adaptive antenna; minimum-energy routing; mixed integer linear programming; multicast algorithm; tree construction.;
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2006.1599403
  • Filename
    1599403