Network Coding for Efficient Data Transmission in COVID-19 Genomic Research

We looked at the potential impact of network coding in terms of efficiency during the transmission of data related to protein folding simulations. Classical methods for data transmission encounter significant inefficiencies arising from the loss of packets. Our method utilizes algebraic combination for improving transmission efficiency while using network coding for efficient transmission of packet data. Results from tests showed that the network coded achieved high improvements: while packet loss rates were set at 10%, 20%, and 30% respectively, the network was transmitting 120 Mbps, 90 Mbps, and 60 Mbps. While this was in contrast to 80 Mbps, 60 Mbps, and 40 Mbps for the traditional methods used. This means that every one of the scenarios had been improved by a consistent rate of 50%. This research explores the possibility of network coding improving data transmission in high packet loss environments, thus speeding up simulations and improving resource management. Network coding will lead to faster and more accurate results in protein folding simulations, significantly benefiting computational biology and related fields.