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An optimized deep learning framework to enhance internet of things and fog based health care monitoring paradigm

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Abstract

In today's digital world, the Internet of Things (IoT) applications play an essential role in sensing and information gathering. Besides, it has been chiefly advanced in medical applications to monitor patients frequently. However, some IoT-based healthcare systems need more design, which often causes communication delays, resulting in the worst packet delivery ratio. The present article has projected a novel bat-based Modular Neural Framework (BMNF) model to address these issues, which improves the communication process and disease prediction ratio. In addition, the gadget fog has been utilized to broadcast the data from the patients to the medical centers. Further, the mobility pattern process has functioned with the Global Positioning System (GPS) to find the nearest hospital facilities. Also, the fitness process of the Bat is operated in the fog device model to reduce the latency score. Finally, the designed model has been validated with other conventional models and has obtained the finest outcome by gaining less communication delay and energy consumption. Hence, the recorded high disease prediction accuracy is 98.2%.

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Funding

This research received no specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University College of Engineering, Osmania University, Hyderabad, Telangana, 500007, India

    Vuppala Sukanya

  2. Government College of Engineering, Karad, Maharastra, 415124, India

    Prashant B. Jawade

  3. Department of Computer Science and Informatics, Mahatma Gandhi University, Nalgonda, Telangana, 508003, India

    M. Jayanthi

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  1. Vuppala Sukanya
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  2. Prashant B. Jawade
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  3. M. Jayanthi
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Authors V. S., P. B. J., and M. J., have contributed equally to work.

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Correspondence to Vuppala Sukanya.

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Sukanya, V., Jawade, P.B. & Jayanthi, M. An optimized deep learning framework to enhance internet of things and fog based health care monitoring paradigm. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18814-8

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