• DocumentCode
    2474346
  • Title

    Research on QoS-Based Networks Node-State

  • Author

    Han, Linna ; Ma, Zhengxin ; Zhu, Huiling ; Hu, Hanying

  • Author_Institution
    Inf. & Eng. Univ., Zhengzhou
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    234
  • Lastpage
    238
  • Abstract
    The selection and collection of the node state information have great impact on the design complexity and performance of a QoS routing algorithm. Continuous-media traffic (e.g. audio and video) can tolerate some loss but has rigid delay constraints. Under this QoS constraint, the node-delay´s probability density function (PDF) is used to character the node state. The continuous-media traffic is in high burst. So the node-delay´s PDF is shaped into normal distribution through a filter algorithm. Analysis and simulation show that the tail probability of the normal distribution can be used to calculate the end-to-end packet loss rate approximately. Then the variance and mean value of the PDF can be controlled to calculate a proper packet loss rate to satisfy the QoS demand. So normal distribution is a simple, achievable and reasonable description
  • Keywords
    filtering theory; probability; quality of service; telecommunication network routing; telecommunication traffic; PDF; QoS routing network; continuous-media traffic; delay constraint; filter algorithm; node-state information; probability density function; quality of service; Algorithm design and analysis; Analytical models; Delay; Filters; Gaussian distribution; Probability density function; Probability distribution; Routing; Telecommunication traffic; Traffic control; Normal Distribution; Packet Loss Rate; Probability Density Function (PDF); node-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2005 Fifth International Conference on
  • Conference_Location
    Bangkok
  • Print_ISBN
    0-7803-9283-3
  • Type

    conf

  • DOI
    10.1109/ICICS.2005.1689041
  • Filename
    1689041