• DocumentCode
    2516562
  • Title

    Self-report traffic pricing model based on incentive stackelberg strategy

  • Author

    Wang, Dan ; Hu, Sanqing ; Qian, Xiaolong ; Jing, Yuanwei

  • Author_Institution
    Key Lab. of Manuf. Ind. Integrated Autom., Shenyang Univ., Shenyang, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    1724
  • Lastpage
    1727
  • Abstract
    This paper deal with a kind of routing control problems of networks. The incentive Stackelberg strategy concept in the game theory was introduced to the network traffic model that comprises subsidiary systems of consumers (users) and network. Moreover, to unify the benefits of operators and consumers, a novel self-report network traffic pricing model is constructed. The main idea of the model is that users themselves reporting network traffic according to own practical demand. In the model, the part of excess or leavings will be appropriate punished by a new establishing linear incentive strategy. The results of the theoretical analysis and simulation demonstrate that the proposed strategy provides incentive by means of appropriate resource allocation, and improves the utilization of network resources.
  • Keywords
    game theory; pricing; resource allocation; telecommunication control; telecommunication network routing; telecommunication traffic; consumer subsidiary systems; game theory; incentive Stackelberg strategy; resource allocation; routing control problems; self report traffic pricing model; Game theory; Games; Information science; Optimization; Pricing; Resource management; Routing; Incentive pricing; Rate control; Stackelberg strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968474
  • Filename
    5968474