Optimizing real-time video transmission for surgical tele-education through ERV algorithm

Journal article

Adhikari, Sarmila, Alsadoon, Abeer, Bekhit, Mahmoud, Jerew, Oday D., Siddiqi, Muhammad and Ali, Ahmed. (2024). Optimizing real-time video transmission for surgical tele-education through ERV algorithm. IEEE Access. 12, pp. 98707-98722. https://doi.org/10.1109/ACCESS.2024.3422093
AuthorsAdhikari, Sarmila, Alsadoon, Abeer, Bekhit, Mahmoud, Jerew, Oday D., Siddiqi, Muhammad and Ali, Ahmed
Abstract

In the field of surgical tele-education, the need for high-quality real-time video transmission in real-time networks is crucial and often compromised by delays and inefficiency. This paper provides a comprehensive study of enhancing the real-time transmission of video in the field of surgical tele-education. The primary focus is on resolving the significant issues of delays in transmission and deterioration in video quality. We propose an improved approach called the Enhanced Real-time Video (ERV) algorithm that greatly improves the efficiency of bandwidth usage, reduces the latency from start to finish, and guarantees the dependability of video transmission. The ERV algorithm is intricately crafted to assess and choose the most dependable communication route, therefore optimizing the transmission duration for video packets that are vital for real-time applications. Comparative analyses with existing approaches demonstrate that the ERV algorithm significantly improves the Peak Signal-to-Noise Ratio (PSNR) of videos, obtaining an average of 58.53 db. This represents a noteworthy enhancement compared to the prior benchmark of 51.878 db. In addition, the method exhibits a faster processing time, with an average of 40.4 milliseconds, which is much better than the existing standard of 64.3 milliseconds. This enhancement is crucial in situations when even the smallest unit of time is significant, such as live broadcasts of surgical procedures. The ERV method significantly improves transmission efficiency by reducing the average end-to-end delay in real-time video streaming from 132.77 ms to 82.3 ms. The primary achievement of this research is its thorough methodology to reduce latency and enhance transmission dependability, therefore improving the quality of real-time video in surgical tele-education.

Keywordstele-education; reliability; video quality; path quality; end-to-end delay; real-time networks; bandwidth utilization
Year2024
JournalIEEE Access
Journal citation12, pp. 98707-98722
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISSN2169-3536
Digital Object Identifier (DOI)https://doi.org/10.1109/ACCESS.2024.3422093
Scopus EID2-s2.0-85197543381
Open accessPublished as ‘gold’ (paid) open access
Page range98707-98722
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
Online02 Jul 2024
Publication process dates
Accepted19 Jun 2024
Deposited30 May 2025
Additional information

2024 The Authors. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/

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