• DocumentCode
    1977001
  • Title

    Application of the lowest-ID algorithm in cluster-based TDMA system for VANETs

  • Author

    VanDung Nguyen ; Oanh Tran Thi Kim ; Duc Ngoc Minh Dang ; Sung Soo Kim ; Choong Seon Hong

  • Author_Institution
    Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
  • fYear
    2015
  • fDate
    12-14 Jan. 2015
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    To gather data of a larger area and improve the capability in the system, vehicles in Vehicular Ad-hoc NETworks (VANETs) are organized into clusters. Moreover, the effectiveness of application in VANET depends on performance of Medium Access Control (MAC) protocol. In addition, cluster-based MAC protocols can avoid or limit channel contention, provide fairness to channel access, increase radio network capacity management by reusing the spatial network and effectively controlling the topology of the network. This paper proposes a cluster-based TDMA system using the lowest-ID algorithm for Vehicular Ad hoc NETworks (VANETs). Using the lowest-ID algorithm, the analytical and simulated results show that not only the average number of time slots for electing a vehicle head but also total number of time slots before data can be successfully transmitted is less than the existing cluster-based TDMA system and IEEE 802.11p.
  • Keywords
    access protocols; telecommunication network management; time division multiple access; vehicular ad hoc networks; VANET; cluster-based MAC protocols; cluster-based TDMA system; lowest-ID algorithm; medium access control protocol; radio network capacity management; vehicular ad-hoc networks; Clustering algorithms; Cogeneration; Media Access Protocol; Proposals; Time division multiple access; Vehicles; Vehicular ad hoc networks; MAC; VANET; cluster-based TDMA; the lowest-ID algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Networking (ICOIN), 2015 International Conference on
  • Conference_Location
    Cambodia
  • Type

    conf

  • DOI
    10.1109/ICOIN.2015.7057851
  • Filename
    7057851