IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i9p1540-d1651020.html
   My bibliography  Save this article

Synergistic Integration of Edge Computing and 6G Networks for Real-Time IoT Applications

Author

Listed:
  • Ahmed M. Alwakeel

    (Faculty of Computers & Information Technology, University of Tabuk, Tabuk 71491, Saudi Arabia
    The Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, Tabuk 71491, Saudi Arabia)

Abstract

The rapid proliferation of Internet of Things (IoT) applications necessitates real-time data processing and low-latency communication, challenging traditional cloud computing paradigms. This research addresses these challenges by integrating edge computing with emerging 6G networks, proposing the ARMO (Adaptive Resource Management and Offloading) model. The ARMO model leverages intelligent task scheduling, dynamic resource allocation, and energy-efficient strategies to enhance the performance of edge computing environments. Our comprehensive methodology involves collecting and preprocessing data from IoT devices, extracting relevant features, predicting resource demand, optimizing task offloading, and continuously monitoring and adjusting resource allocation using advanced machine learning techniques. The results demonstrate significant improvements, including a 47% reduction in average latency, a 40% decrease in total energy consumption, and a 20% increase in resource utilization. Additionally, the model achieved a 98% task completion rate and consistently higher network throughput compared to previous models. These findings underscore the ARMO model’s potential to support the next generation of real-time IoT applications, providing a robust, efficient, and scalable solution for integrating edge computing with 6G networks.

Suggested Citation

  • Ahmed M. Alwakeel, 2025. "Synergistic Integration of Edge Computing and 6G Networks for Real-Time IoT Applications," Mathematics, MDPI, vol. 13(9), pages 1-32, May.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:9:p:1540-:d:1651020
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/9/1540/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/13/9/1540/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Igor Kabashkin, 2024. "Digital Twin Framework for Aircraft Lifecycle Management Based on Data-Driven Models," Mathematics, MDPI, vol. 12(19), pages 1-36, September.
    2. Ahmed Al-Ansi & Abdullah M. Al-Ansi & Ammar Muthanna & Ibrahim A. Elgendy & Andrey Koucheryavy, 2021. "Survey on Intelligence Edge Computing in 6G: Characteristics, Challenges, Potential Use Cases, and Market Drivers," Future Internet, MDPI, vol. 13(5), pages 1-23, April.
    3. Yang Liu & Qingtian Wang & Haitao Liu & Jiaying Zong & Fengyi Yang & Bo Rong, 2022. "Edge Intelligence-Based RAN Architecture for 6G Internet of Things," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-11, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Igor Kabashkin & Vitaly Susanin, 2024. "Decision-Making Model for Life Cycle Management of Aircraft Components," Mathematics, MDPI, vol. 12(22), pages 1-43, November.
    2. Rohit Kumar & Saurav Kumar Gupta & Hwang-Cheng Wang & C. Shyamala Kumari & Sai Srinivas Vara Prasad Korlam, 2023. "From Efficiency to Sustainability: Exploring the Potential of 6G for a Greener Future," Sustainability, MDPI, vol. 15(23), pages 1-45, November.
    3. Amitkumar V. Jha & Bhargav Appasani & Mohammad S. Khan & Sherali Zeadally & Iyad Katib, 2024. "6G for intelligent transportation systems: standards, technologies, and challenges," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 86(2), pages 241-268, June.
    4. Kelvin Anoh & Chan Hwang See & Yousef Dama & Raed A. Abd-Alhameed & Simeon Keates, 2022. "6G Wireless Communication Systems: Applications, Opportunities and Challenges," Future Internet, MDPI, vol. 14(12), pages 1-4, December.

    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:gam:jmathe:v:13:y:2025:i:9:p:1540-:d:1651020. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.