# Enhancing Real-Time Video Streaming Quality via MPT-GRE Multipath Network
## 8 Evaluation of Video Streaming Performance
For instance, in the case of the \"BirdOfPrey\" video, after transmission through the single path, the PSNR metric calculated between the original video and the video transmitted via the single path is 30.1183 dB. Conversely, the same video streamed through the MPT-GRE tunnel exhibited an improvement in video quality with a PSNR value of 41.8681 dB. This result shows that the MPT-GRE tunnel retained a PSNR closer to the original, indicating that the tunnel's multipath capabilities are highly effective in mitigating quality degradation during transmission compared to the single-path method. The \"TallBuildings\" video demonstrates the benefits of using the MPT-GRE tunnel over a single video stream path. This video is high quality and has well-defined details. Videos featuring architectural structures, like tall buildings, often contain intricate textures, lines, and contrasts, making them especially sensitive to degradation during streaming. The PSNR metric calculated between the original video and the video transmitted via the single path is 33.1323 dB. In contrast, the MPT-GRE tunnel demonstrated much better preservation of the original video quality, with a post-transmission PSNR of 37.6791 dB, with an improvement percentage of 14%. This result indicates that the tunnel effectively mitigated the impact of network fluctuations. After analyzing the results in the first scenario, it is evident that MPT-GRE tunneling outperforms the single path in all cases by reducing video quality degradation, as indicated by higher SSIM, PSNR values, and lower MSE values. This superior performance helps preserve the original resolution of the video, ensuring that viewers experience sharper visuals and finer details, even in high-resolution streams with minimal quality loss. In the second scenario, we evaluated the video quality metrics SSIM, MSE, and PSNR for seven 4K resolution videos from [23], using the same setup and configuration for video streaming as in the first scenario and a transmission speed of 20 Mbps. The experimental results demonstrate that the MPT-GRE tunnel is feasible and effective for real-time 4K video streaming applications, outperforming existing single-path methods. Figure 6: MSE comparison for different videos streaming via the single path and MPT-GRE tunnel. By analysis, the SSIM values in Table 2 provide further evidence of the MPT-GRE tunnel's effectiveness in maintaining video quality during real-time 4K streaming on the first path. For instance, the video with index 5 shows that after streaming, the SSIM on the single path is 0.6520, indicating a significant decrease in quality. In contrast, when streamed through the MPT-GRE tunnel, the SSIM is 0.9811, demonstrating a high structural similarity between the original and streamed video. This suggests minimal perceptual degradation and preservation of video quality close to the original content. For more details, the analysis of the SSIM for the video with index 4 reveals noteworthy results regarding the impact of the multipath networks on video quality. After transmission over a single path, the SSIM value is observed to be 0.9077, indicating a moderate degradation in video quality. However, when the video is streamed through the MPT-GRE tunnel, the SSIM is 0.9877, suggesting a much smaller reduction in quality, giving more reasonable evidence of the tunnel's ability to mitigate video quality degradation more effectively than the single path. The comparison emphasizes the potential benefits of utilizing MPT-GRE tunnels for enhanced video quality in multipath network environments. The SSIM analysis shows a statistically significant improvement in structural similarity when using the MPT tunnel compared to the single path. The mean SSIM value for the MPT tunnel is 0.9409, which is considerably higher than the single path's value of 0.7426,