• DocumentCode
    729525
  • Title

    A multi-classifiers-based approach for vertical handoff process in wireless heterogeneous networks: Retrospective and prospective

  • Author

    Alotaibi, Nasser M. ; Alwakeel, Sami S.

  • Author_Institution
    Computer Engineering Department, College of Computer and Information Sciences, King Saud University; Riyadh, Saudi Arabia
  • fYear
    2015
  • fDate
    17-19 Feb. 2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Heterogeneous networks allow mobile nodes to take advantage of best radio facilities for their coexisting connections. Vertical handover (VHO) between them is required to perform Always Best Connected (ABC). VHO is one of the most challenging research issues for wireless networks. The traditional decision making schemes cannot meet the VHO requirements of mobile networks, and the performance may degrade severely due to the unique characteristics of mobile networking. Therefore, optimized handover management schemes, developed specifically for heterogeneous wireless networks are required. In order achieve an optimum VHO decision, this paper propose a solution to the tough VHO decision problem through a novel approach based on multiple classifiers application. Our aim is to survey recent development of this field and to present the prospective of utilizing statistical classifiers to handle the challenging VHO requirement. The architecture design of the proposed approach is presented. Various components that constitute the road map toward development of the multi-classifier based VHO scheme are discussed.
  • Keywords
    Bandwidth; Classification algorithms; Handover; Quality of service; Wireless networks; Cooperative Learning; Cooperative WSN Routing Algorithms; Energy Efficient Routing Algorithms; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Towards New Smart World (NSITNSW), 2015 5th National Symposium on
  • Conference_Location
    Riyadh, Saudi Arabia
  • Print_ISBN
    978-1-4799-7625-6
  • Type

    conf

  • DOI
    10.1109/NSITNSW.2015.7176392
  • Filename
    7176392