IDEAS home Printed from https://ideas.repec.org/a/hin/jnljam/920123.html
   My bibliography  Save this article

A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks

Author

Listed:
  • Daxin Tian
  • Jianshan Zhou
  • Honggang Qi
  • Yingrong Lu
  • Yunpeng Wang
  • Jian Wang
  • Anping He

Abstract

We propose a bio-inspired model for making handover decision in heterogeneous wireless networks. It is based on an extended attractor selection model, which is biologically inspired by the self-adaptability and robustness of cellular response to the changes in dynamic environments. The goal of the proposed model is to guarantee multiple terminals’ satisfaction by meeting the QoS requirements of those terminals’ applications, and this model also attempts to ensure the fairness of network resources allocation, in the meanwhile, to enable the QoS-oriented handover decision adaptive to dynamic wireless environments. Some numerical simulations are preformed to validate our proposed bio-inspired model in terms of adaptive attractor selection in different noisy environments. And the results of some other simulations prove that the proposed handover scheme can adapt terminals’ network selection to the varying wireless environment and benefits the QoS of multiple terminal applications simultaneously and automatically. Furthermore, the comparative analysis also shows that the bio-inspired model outperforms the utility function based handover decision scheme in terms of ensuring a better QoS satisfaction and a better fairness of network resources allocation in dynamic heterogeneous wireless networks.

Suggested Citation

  • Daxin Tian & Jianshan Zhou & Honggang Qi & Yingrong Lu & Yunpeng Wang & Jian Wang & Anping He, 2014. "A Bio-Inspired QoS-Oriented Handover Model in Heterogeneous Wireless Networks," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-13, April.
  • Handle: RePEc:hin:jnljam:920123
    DOI: 10.1155/2014/920123
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/JAM/2014/920123.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/JAM/2014/920123.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/920123?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

    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:hin:jnljam:920123. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.