• DocumentCode
    124471
  • Title

    FQGwS: A gateway selection algorithm in a hybrid clustered VANET LTE-advanced network: Complexity and performances

  • Author

    El Mouna Zhioua, Ghayet ; Labiod, Houda ; Tabbane, Nabil ; Tabbane, Sami

  • Author_Institution
    InfRes, Telecom ParisTech, Paris, France
  • fYear
    2014
  • fDate
    3-6 Feb. 2014
  • Firstpage
    413
  • Lastpage
    417
  • Abstract
    In this paper, we propose a cooperative traffic transmission algorithm in a joint cellular and vehicular ad hoc hybrid network architecture. We focus on defining an algorithm aiming to select the appropriate gateway for a given source vehicle under the scope of vehicle to infrastructure communications. We consider the LTE Advanced infrastructure and propose a multi-criteria and attribute scheme named FQGwS algorithm. It is a QoS-balancing gateway selection algorithm where the decision over the gateway depends on the class of traffics to be transmitted to the infrastructure. A study of the complexity and the convergence of the algorithm is handled. Moreover, simulation results show that the packet loss is always lower than 1% and that the average delay never exceeds the delay constraint of the QoS class unlike when using the deterministic scheme.
  • Keywords
    Long Term Evolution; cooperative communication; fuzzy set theory; quality of service; telecommunication traffic; vehicular ad hoc networks; FQGwS; LTE Advanced network; Long Term Evolution; QoS-balancing gateway selection algorithm; cooperative traffic transmission algorithm; hybrid clustered VANET; packet loss; quality of service; vehicular ad hoc networks; Clustering algorithms; Complexity theory; Delays; Logic gates; Long Term Evolution; Vehicles; Vehicular ad hoc networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Networking and Communications (ICNC), 2014 International Conference on
  • Conference_Location
    Honolulu, HI
  • Type

    conf

  • DOI
    10.1109/ICCNC.2014.6785370
  • Filename
    6785370