• DocumentCode
    2898315
  • Title

    A Framework to Analyze Network Performance Based on Information Quality

  • Author

    Geng, Yanhui ; Li, Victor O K

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • fDate
    23-27 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Information theory has made great impact on research and development of communication systems. However, research in networking, a system built on communication components, has not benefited much from information theory and a theoretical framework to guide the analysis and design of networks is still lacking. Therefore, in this paper, we propose an information-theoretical framework to explore the quantitative relationship between information and network performance. Another attribute of information, namely information quality (IQ), is proposed to reflect the degree of importance of information to the target performance metric. IQ can be utilized to identify important information, so that network resource can first be allocated to such information, and hence to improve the network performance. Moreover, information efficiency (IE) is proposed as a metric to measure the information efficiency of network protocols and it can be used to analyze and compare the performance of different network protocols. Opportunistic scheduling is used to illustrate our proposed framework.
  • Keywords
    information theory; protocols; quality of service; Information Quality; information efficiency; information theory; network performance analysis; network protocols; network resource; target performance metric; Communication systems; Information analysis; Information theory; Measurement; Network coding; Performance analysis; Protocols; Research and development; Routing; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2010 IEEE International Conference on
  • Conference_Location
    Cape Town
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4244-6402-9
  • Type

    conf

  • DOI
    10.1109/ICC.2010.5501849
  • Filename
    5501849