• DocumentCode
    1786455
  • Title

    An effective overload control algorithm to Parlay gateway of electric power communication networks

  • Author

    Zhao Honghao ; Meng Fanbo ; Wu Diying ; Jiang Nan ; Cao Ying

  • Author_Institution
    State Grid Liaoning Electr. Power Co. Ltd., Shenyang, China
  • fYear
    2014
  • fDate
    19-21 Sept. 2014
  • Firstpage
    41
  • Lastpage
    45
  • Abstract
    This paper studies the Parlay gateway traffic overload control problems in electric power communication networks. A traffic overload control algorithm with energy efficiency is proposed to solve it. Firstly, the fairness and effectiveness of the Parlay gateway is analyzed. Then we can establish the constraints about fairness and effectiveness. The electric power communication network energy efficiency is taken as the optimal objective function. The multi-constraint energy-efficient traffic overload control model about the Parlay gateway is successfully built. Finally, the genetic algorithm is used to solve the model. By the iterative process, an optimal solution to this model can be attained. Simulation results show that our algorithm is feasible and promising.
  • Keywords
    application program interfaces; genetic algorithms; iterative methods; telecommunication control; telecommunication networks; telecommunication traffic; Parlay gateway traffic overload control problems; electric power communication networks; energy efficiency; genetic algorithm; iterative process; optimal objective function; Algorithm design and analysis; Business; Communication networks; Encoding; Energy efficiency; Logic gates; Power systems; electric power communication; energy efficiency; parlay gateway; traffic overload control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content (IC-NIDC), 2014 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4736-2
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2014.7000262
  • Filename
    7000262