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    Area of Science:

    • Computer Science
    • Wireless Networking
    • Telemedicine

    Background:

    • Efficient transmission of large medical imaging files is crucial for telemedicine.
    • Existing wireless network protocols can introduce significant delays in medical data transfer.
    • Femtocaching offers a potential solution for localized data storage and retrieval.

    Purpose of the Study:

    • To design and evaluate a new femtocaching file placement algorithm for telemedicine applications.
    • To improve the transmission speed and reliability of medical scan images over wireless networks.
    • To reduce operational delays in healthcare facilities through optimized data handling.

    Main Methods:

    • Development of a novel femtocaching file placement algorithm.
    • Comparative experimental analysis against the Greedy algorithm and a baseline.
    • Evaluation of key performance metrics including transmission delay and caching capacity.

    Main Results:

    • The proposed algorithm significantly reduces transmission delay compared to existing methods.
    • Demonstrated improvement in the capacity of caching helpers.
    • Observed reduction in the total delay for daily healthcare operations.

    Conclusions:

    • The new femtocaching algorithm is effective in enhancing telemedicine services.
    • Optimized file placement improves wireless medical image transmission efficiency.
    • The algorithm contributes to reduced operational delays and improved healthcare facility performance.