IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i6p988-d1614283.html
   My bibliography  Save this article

Smart Healthcare Network Management: A Comprehensive Review

Author

Listed:
  • Farag M. Sallabi

    (College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, Abu Dhabi, United Arab Emirates)

  • Heba M. Khater

    (College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, Abu Dhabi, United Arab Emirates
    These authors contributed equally to this work.)

  • Asadullah Tariq

    (College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, Abu Dhabi, United Arab Emirates
    These authors contributed equally to this work.)

  • Mohammad Hayajneh

    (College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, Abu Dhabi, United Arab Emirates)

  • Khaled Shuaib

    (College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, Abu Dhabi, United Arab Emirates)

  • Ezedin S. Barka

    (College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, Abu Dhabi, United Arab Emirates)

Abstract

Recent developments in sensors, wireless communications, and data processing technologies are the main drivers for adopting the Internet of Things (IoT) in healthcare systems. IoT-based healthcare systems can enhance the quality of life significantly and help prevent the occurrence of health problems and epidemics. Deploying IoT-based healthcare on a massive scale raises several issues and challenges. One of the main challenges is the management of the end-to-end network connections of the IoT-based healthcare system. This paper presents a comprehensive survey of smart network management protocols that improve IoT-based healthcare efficiency, ensuring real-time monitoring, secure data transmission, and effective device management. Moreover, a reference architecture has been proposed for the network management of IoT-based smart healthcare systems to ensure the sustainability of service delivery to patients and caregivers. The architecture avoids health-related risks and anomalies by incorporating proper network management techniques and operational requirements pertaining to smart healthcare systems. This paper also discusses architectural implementation insights supported by new technologies such as software-defined networking (SDN) and deep learning (DL). Finally, this paper explores emerging paradigms to advance next-generation network management protocols for future smart healthcare systems.

Suggested Citation

  • Farag M. Sallabi & Heba M. Khater & Asadullah Tariq & Mohammad Hayajneh & Khaled Shuaib & Ezedin S. Barka, 2025. "Smart Healthcare Network Management: A Comprehensive Review," Mathematics, MDPI, vol. 13(6), pages 1-37, March.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:6:p:988-:d:1614283
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/6/988/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/13/6/988/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saha, Esha & Rathore, Pradeep, 2024. "The impact of healthcare 4.0 technologies on healthcare supply chain performance: Extending the organizational information processing theory," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhou Chen & Lidong Han & Baokun Hu, 2025. "Revocable Attribute-Based Encryption with Efficient and Secure Verification in Smart Health Systems," Mathematics, MDPI, vol. 13(9), pages 1-23, May.

    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.

      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:6:p:988-:d:1614283. 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.