IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v3y2018i12id61045.html

Robust and Reliable Vertical Handoff Technique for Next Generation Wireless Networks

Author

Listed:
  • C S Jayasheela

    (VTU, Belgaum)

  • Dr Gowrishankar

Abstract

Next Generation Wireless Networks (NGWNs) focus on providing consistent Quality of Service (QoS) to network users; to achieve this goal, Cooperative Communication (CC) framework is popularly utilized. Here, multiple wireless networks cooperate to provide consistent QoS to the user. Vertical Handoff (VH) is one of the extensively used techniques in CC framework. Here, the user, whose original network is unable to provide requested QoS is migrated to neighboring wireless network--which can deliver the requested QoS. In the literature, raft of techniques have been presented for VH. However, almost all these techniques have ignored formal methods to analyze reliability and robustness of handoff decisions, which are extremely essential to support the merits of handoff decisions. In this work, formal methods to analyze reliability and robustness of handoff decisions are presented. The proposed VH technique is achieved through Long Short Term Memory (LSTM) architecture. Simulation results exhibit the relative merits of the proposed VH technique in-terms of reliability and robustness against contemporary VH technique.

Suggested Citation

  • C S Jayasheela & Dr Gowrishankar, 2018. "Robust and Reliable Vertical Handoff Technique for Next Generation Wireless Networks," European Journal of Engineering and Technology Research, European Open Science, vol. 3(12), pages 91-97, December.
  • Handle: RePEc:epw:ejeng0:v:3:y:2018:i:12:id:61045
    DOI: 10.24018/ejeng.2018.3.12.1045
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/61045
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejeng/article/download/61045/11982
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejeng.2018.3.12.1045?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:3:y:2018:i:12:id:61045. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.