• DocumentCode
    2888489
  • Title

    Efficient Recovery Algorithms for Wireless Mesh Networks with Cognitive Radios

  • Author

    Hincapie, Roberto ; Zhang, Li ; Tang, Jian ; Xue, Guoliang ; Wolff, Richard S. ; Bustamante, Roberto

  • Author_Institution
    Dept. of Telecommun. Eng., Univ. Pontificia Bolivariana, Medellin, Colombia
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Cognitive radios allow unlicensed wireless users to access channels that are in the licensed spectrum bands. However, in a wireless network with cognitive radios, when a licensed user becomes active on a channel in a certain area, nodes and links that were using that channel must release it, which will cause traffic failures. Simple and effective recovery schemes are needed to re-allocate available resources for the failed traffic. In this paper, we study the failure recovery in wireless mesh networks with cognitive radios. We formally formulate the corresponding problems as integer linear programming problems. By solving them, we can obtain optimal solutions. Moreover, an efficient distributed heuristic algorithm is presented for fast recovery. Simulation results show that the performance given by our distributed algorithm is close to that of the optimal solutions.
  • Keywords
    cognitive radio; distributed algorithms; integer programming; linear programming; telecommunication network reliability; telecommunication traffic; cognitive radios; distributed heuristic algorithm; failure recovery algorithm; integer linear programming problems; licensed spectrum bands; traffic failures; unlicensed wireless users; wireless mesh networks; Bandwidth; Cognitive radio; Distributed algorithms; Heuristic algorithms; Integer linear programming; Resource management; Routing; Telecommunication traffic; Wireless mesh networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5198977
  • Filename
    5198977