• DocumentCode
    2293108
  • Title

    Adaptive node capability to assess the characteristic tempo in a wireless communication network

  • Author

    Magalhaes, Marcelo ; Smith, Terry E. ; Pace, Phillip E.

  • Author_Institution
    Naval Postgrad. Sch., Monterey, CA, USA
  • fYear
    2012
  • fDate
    1-4 April 2012
  • Firstpage
    3013
  • Lastpage
    3018
  • Abstract
    This paper develops a new expression for a network node capability value used to quantify the node´s ability to maintain an optimal information flow in a mobile communication network. The capability value is adaptable and is a function of the bandwidth efficiency, the data rate, the energy-per-bit to noise spectral density power ratio and reflects how effectively the node can receive, process and transmit data. To evaluate the capability expression a generalized connectivity metric is used which integrates the node capability values along with their connections scaled by the length of the routes (including their directionality) in order to measure the maximum information exchange rate (characteristic tempo) of the network. Simulation results are shown for a prototype four-node dynamic scenario to numerically evaluate the node capability values and the resulting network characteristic tempo.
  • Keywords
    mobile communication; telecommunication network routing; bandwidth efficiency; data rate; energy-per-bit to noise spectral density power ratio; generalized connectivity metric; maximum information exchange rate; mobile communication network; network characteristic tempo; network node capability value; node directionality; optimal information flow; prototype four-node dynamic scenario; wireless communication network; Bandwidth; Measurement; Modulation; Receivers; Signal to noise ratio; Throughput; Wireless communication; maximum information exchange rate; node capability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2012 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-0436-8
  • Type

    conf

  • DOI
    10.1109/WCNC.2012.6214321
  • Filename
    6214321