IDEAS home Printed from https://ideas.repec.org/a/taf/tcybxx/v11y2025i2p183-240.html
   My bibliography  Save this article

Cognitive Transformation in Personal IoT: Pioneering Intelligent Automation

Author

Listed:
  • Bisma Gulzar
  • Shabir Ahmad Sofi
  • Sahil Sholla

Abstract

In recent years, IoT has transformed personal environments by integrating diverse smart devices. This paper presents an advanced IoT architecture that optimizes network infrastructure, focusing on the adoption of MQTT protocol and introducing Cognitive Smart Objects for managing personal IoT applications. These objects use Neural Networks to predict optimal actions based on user behavior patterns. A Continuous Learning mechanism enables real-time adaptation of the network to evolving user interactions. The study highlights the role of Cognitive Transformation in Personal IoT, driving intelligent automation and enhancing user experience.

Suggested Citation

  • Bisma Gulzar & Shabir Ahmad Sofi & Sahil Sholla, 2025. "Cognitive Transformation in Personal IoT: Pioneering Intelligent Automation," Cyber-Physical Systems, Taylor & Francis Journals, vol. 11(2), pages 183-240, April.
    • Handle: RePEc:taf:tcybxx:v:11:y:2025:i:2:p:183-240
    DOI: 10.1080/23335777.2024.2411736
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23335777.2024.2411736
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/23335777.2024.2411736?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.

    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:taf:tcybxx:v:11:y:2025:i:2:p:183-240. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tcyb .

    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.