• DocumentCode
    708672
  • Title

    Performance evaluation of multi-criteria vertical handover for heterogeneous wireless networks

  • Author

    Drissi, Maroua ; Oumsis, Mohammed

  • Author_Institution
    LRIT, Mohammed V Univ., Rabat, Morocco
  • fYear
    2015
  • fDate
    25-26 March 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Always Best Connected (ABC) concept allows the best connectivity to mobile users anywhere at any time in heterogeneous network environment. To answer its requirement, Network selection techniques play a considered role in providing the best QoS in such environment. In this paper authors study the use of Multiple Attribute Decision Making (MADM) used to choose the best network from available networks. Authors compare handover decision algorithms: MEW (Multiplicative Exponent Weighting), SAW (Simple Additive Weighting) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) in terms of end-to-end delay and packet loss using Two available networks WLAN and Wimax in NS-3. All algorithms allow different attributes (e.g., bandwidth, delay, Jitter and Bite Error rate) to be included in the simulation.
  • Keywords
    TOPSIS; decision making; delays; mobility management (mobile radio); quality of service; ABC; MADM; MEW; NS-3; QoS; SAW; TOPSIS; WLAN; Wimax; always best connected; end-to-end delay; handover decision algorithms; heterogeneous wireless networks; mobile users; multicriteria vertical handover; multiple attribute decision making; multiplicative exponent weighting; network selection techniques; simple additive weighting; technique for order preference by similarity to ideal solution; Delays; Handover; Quality of service; Surface acoustic waves; Wireless networks; AHP; Heterogeneous network; MADM; MEW; NS-3; Network Selection; SAW; TOPSIS; Vertical handover; WIMAX; WLAN;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Computer Vision (ISCV), 2015
  • Conference_Location
    Fez
  • Print_ISBN
    978-1-4799-7510-5
  • Type

    conf

  • DOI
    10.1109/ISACV.2015.7106165
  • Filename
    7106165