• DocumentCode
    530433
  • Title

    Traffic-Sensitive S-TDMA schedule based on traffic load estimate for Maintenance Self-Organized radio wireless network

  • Author

    Hedayati, Maysam ; Kamali, Seyed Hossein ; Motameni, Homayun ; Shakerian, Reza

  • Author_Institution
    Ghaemshahr Branch, Islamic Azad Univ., Ghaemshahr, Iran
  • Volume
    1
  • fYear
    2010
  • fDate
    3-5 Oct. 2010
  • Abstract
    Self-Organized radio wireless networks are composed of dynamically distributed mobile nodes without any wired backbone or centralized entities. This network is known MANET. In this paper, we proposed traffic load Estimation method based on an exponential decrease function and then present in Traffic-Sensitive S-TDMA Scheduling algorithm. Furthermore, we look into two parameters window size and gamma. This traffic estimation method based on exponential decrease function may also work for other traffic models if fine tuning of the above parameters have been made. In general The Medium Access Control (MAC) protocol is responsible for how this radio resource is divided between the nodes. Spatial Time Division Multiple Access (S-TDMA) is an example of MAC protocol. By definition, optimum network performance is achieved when the average packet delay is minimized.
  • Keywords
    access protocols; ad hoc networks; mobile radio; space division multiplexing; telecommunication congestion control; telecommunication traffic; time division multiple access; MAC protocol; MANET; S-TDMA; distributed mobile nodes; exponential decrease function; medium access control; self-organized radio wireless network; spatial time division multiple access; traffic load estimation; traffic sensitive schedule; Mobile ad hoc networks; MANET; S-TDMA Scheduling Algorithm; Self-Organized Wireless Network; Traffic Load;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
  • Conference_Location
    San Juan, PR
  • Print_ISBN
    978-1-4244-8667-0
  • Electronic_ISBN
    978-1-4244-8666-3
  • Type

    conf

  • DOI
    10.1109/ICSTE.2010.5608965
  • Filename
    5608965