IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v73y2020i2d10.1007_s11235-019-00604-5.html
   My bibliography  Save this article

Collaborative cross-layer framework for handover decision in overlay networks

Author

Listed:
  • Fatma A. Al Emam

    (Mansoura University)

  • Mohamed E. Nasr

    (Tanta University)

  • Sherif E. Kishk

    (Mansoura University)

Abstract

Up to date the vertical handover (VHO) management across heterogeneous wireless networks has received large attention in recent researches. Independent decisions on different protocol layers responding to the same event may lead to un-optimal operation during VHO over heterogeneous wireless networks. There is demand for solutions capable of managing handovers while ensuring sufficient Quality of Experience for running applications with low signaling overhead. However, user perception has not been handled intensively in context-aware decision algorithms when the Mobile Node undergoes handover. The proposed cross-layer decision framework integrates a set of Quality of Experience based decision-making modules to provide the ability for upper layers to adapt dynamically to fluctuating environmental conditions and optimize the access selection process using a unified signaling messages. This middleware solution manage the signaling coordination actions based on feedback triggers and various policies to reduce false handover indications, compensate for link-layer fluctuations and minimize the impact of mobility. Numerical results highlight enhancements brought by the proposed framework over reference frameworks in terms of perceived quality, handover initiation time and delay constraints.

Suggested Citation

  • Fatma A. Al Emam & Mohamed E. Nasr & Sherif E. Kishk, 2020. "Collaborative cross-layer framework for handover decision in overlay networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 73(2), pages 189-203, February.
  • Handle: RePEc:spr:telsys:v:73:y:2020:i:2:d:10.1007_s11235-019-00604-5
    DOI: 10.1007/s11235-019-00604-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-019-00604-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-019-00604-5?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:spr:telsys:v:73:y:2020:i:2:d:10.1007_s11235-019-00604-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.