• DocumentCode
    2298436
  • Title

    Joint Optimal Congestion Control and Channel Assignment for Multi-Radio Multi-Channel Wireless Networks in Cyber-Physical Systems

  • Author

    Li, Kewei ; Liu, Qingwei ; Wang, Furong ; Xie, Xu

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    7-9 July 2009
  • Firstpage
    456
  • Lastpage
    460
  • Abstract
    We focus on designing a distributed algorithm for joint optimal congestion control and channel assignment in multi-radio multi-channel Cyber-Physical networks. The design problem is formulated as a network utility maximization subject to some constraints, which is a mixed-integer non-linear programming (MINLP). We propose a near-optimal distributed algorithm to solve this MINLP by the Lagrange dual decomposition and prove the convergence of this algorithm. Simulations show that the results obtained by the proposed distributed algorithm are very close to the optimal results obtained by the centralized branch and bound method.
  • Keywords
    channel allocation; distributed algorithms; integer programming; nonlinear programming; radio networks; telecommunication congestion control; wireless channels; Lagrange dual decomposition; channel assignment; cyber-physical system; distributed algorithm; joint optimal congestion control; mixed-integer non-linear programming; multiradio multichannel wireless network; network utility maximization; Conferences; Control systems; Convergence; Distributed algorithms; Lagrangian functions; Optimal control; Switches; Utility programs; Wireless networks; Wireless sensor networks; Cyber-Physical networks; multi-radio multi-channel. distributed algorithm; network optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4244-4902-6
  • Electronic_ISBN
    978-0-7695-3737-5
  • Type

    conf

  • DOI
    10.1109/UIC-ATC.2009.27
  • Filename
    5319193