IDEAS home Printed from https://ideas.repec.org/a/ids/ijnvor/v32y2025i1-2-3-4p1-20.html
   My bibliography  Save this article

Resource allocation of distributed wireless network based on mobile edge computing

Author

Listed:
  • Xiaobo Zhang
  • Ketong Liu
  • Yan Zhang

Abstract

In order to solve the problems of high packet loss rate, low configuration balance and long time in traditional resource allocation methods, a resource allocation method of distributed wireless network based on mobile edge computing is proposed. The mobile edge computing is used to select the distributed wireless network service nodes, so as to determine the constraints such as task unloading, resource allocation, task execution delay, transmission rate, etc., build the distributed wireless network resource allocation objective function, and use the genetic-annealing algorithm to solve the objective function. The optimal solution is the optimal distributed wireless network resource allocation scheme. The experimental results show that the average packet loss rate of this method is 3.06%, the resource allocation balance of distributed wireless network varies from 0.96 to 0.96, and the average allocation time is reduced by 2.12 s and 1.19 s respectively compared with the two experimental comparison methods.

Suggested Citation

  • Xiaobo Zhang & Ketong Liu & Yan Zhang, 2025. "Resource allocation of distributed wireless network based on mobile edge computing," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 32(1/2/3/4), pages 1-20.
  • Handle: RePEc:ids:ijnvor:v:32:y:2025:i:1/2/3/4:p:1-20
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=145365
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijnvor:v:32:y:2025:i:1/2/3/4:p:1-20. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=22 .

    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.