• DocumentCode
    2969209
  • Title

    Congestion control of Tcp/Aqm networks: Does the simulation tool change results?

  • Author

    Alvarez, Teresa ; Salim, Anuar ; Bolajraf, Mohamed

  • Author_Institution
    Dept. of Eng. Sci. & Autom. Control, Univ. of Valladolid, Valladolid, Spain
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    1800
  • Lastpage
    1804
  • Abstract
    The simulation of congestion control algorithms of TCP networks is discussed in this paper. Simulation is a widespread procedure for testing and understanding how real systems evolve. Internet has a great impact in our society. Everyone wants fast and reliable links, but sometimes congestion happens because the network delay and the number of users fluctuate from one moment to the next. There are different approaches for dealing with congestion: classical (such as drop tail or RED) or process control techniques (PID, predictive control or fuzzy). Future engineers need to learn about this topic. So it seems logical to use simulation, but which tools should we use? This paper presents a comparison using three different simulation programs: Matlab, EcosimPro and ns-2. Results show that, depending on what we want, we should choose different tools.
  • Keywords
    IP networks; Internet; discrete event simulation; queueing theory; telecommunication computing; telecommunication congestion control; transport protocols; EcosimPro; Internet; Matlab; TCP/AQM networks; active queue management; congestion control algorithms; discrete event simulation; network delay; ns-2; process control techniques; simulation tool; transmission control protocol; Automatic control; Communication system control; Computational modeling; Control systems; Internet; Mathematical model; Power system modeling; Reliability engineering; Telecommunication control; Three-term control; PID; TCP/AQM; congestion control; continuous simulation; discrete-event simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373172
  • Filename
    5373172