• DocumentCode
    30186
  • Title

    Dynamic Incentives for Congestion Control

  • Author

    Barrera, Jorge ; Garcia, Alvaro

  • Author_Institution
    Univ. of Virginia, Charlottesville, VA, USA
  • Volume
    60
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    299
  • Lastpage
    310
  • Abstract
    We introduce a new dynamic pricing mechanism for controlling congestion in a network shared by non-cooperative users. The network exhibits a congestion externality and users have private information regarding their willingness to pay for network use. The externalities imply that many simple uniform price adjustment processes (e.g., tatonnement) either fail to effectively control flow demands and/or are subject to strategic manipulation. We propose a dynamic discriminatory pricing mechanism design and show that it effectively controls congestion while ensuring the efficient allocation of network capacity. We show the proposed mechanism is robust to strategic manipulation. To the best of our knowledge, there is no other dynamic pricing mechanism in the literature with these properties.
  • Keywords
    telecommunication congestion control; congestion control; dynamic discriminatory pricing mechanism; dynamic incentive; network capacity allocation; price adjustment process; strategic manipulation; Aggregates; Algorithm design and analysis; Convergence; Inductors; Joints; Pricing; Resource management; Congestion control; congestion externality; congestionpricing; mechanism design; networked resources; strategy proof;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2014.2348197
  • Filename
    6879269