## 4 Performance Evaluation
### Result Analysis of RMF-MVS + DSW  
The performance of RMF-MVS+DSW scheme is assessed in terms of PSNR, PLR and E2 ED metrics based on different densities of vehicles and different data rates of the video streaming. The proposed scheme is benchmarked against 3 MRP+DSW schemes. In Figure 9, the PSNR of the video data based on different vehicle densities has been shown. In the simulation, it is observed that the PSNR of the video increases as the number of vehicles increases, as related in Figure 6.  
However, the performance of the video quality is higher for 3 MRP + DSW and RMF-MVS + DSW compared to the non-dynamic 3 MRP and RMF-MVS. This is due to dynamic weighting score because it estimates the real current value of a metric based on the network condition as at the time of video packet forwarding. Thus, better results are obtained. Meanwhile, the RMF-MVS + DSW outperformed the baseline 3 MRP + DSW scheme in terms of the PSNR. Each of the 3 MRP + DSW and RMF-MVS + DSW scheme achieved 70.4% and 76.4% performance, respectively. Therefore, the percentage performance improvement of the proposed scheme against the baseline scheme is 6.0%. Figure 9 the PSNR of the video data based on varied data rates has been depicted. In the simulation, it is also observed that the PSNR of the video decreases as the volume of data increases, as correlated in Figure 6. However, the performance of the video quality is higher for 3 MRP + DSW and RMF-MVS + DSW compared to the non-dynamic 3 MRP and RMF-MVS based on the different data rates. This is due to the dynamic weighting score as mentioned previously in the discussion of Figure 9. Thus, better results were achieved. Meanwhile, the RMF-MVS + DSW outperformed  
Figure 9: Based on Varied Number of (**a**) Vehicles and (**b**) Data Rates Considering Dynamic Weighting Score. the baseline 3 MRP + DSW scheme in terms of the PSNR. The 3 MRP + DSW and RMF-MVS + DSW scheme achieved 70.6% and 72.5% performance, respectively. Therefore, the percentage performance improvement of the proposed scheme against the baseline scheme is 1.9%. Figure 10a shows results of the PLR metrics evaluation considering a different number of vehicles. Based on the simulation results, the PLR of the video data is relatively high but reduces as the number of vehicle increases. It is observed that the video packet loss is minimal as the number of the vehicle is greater than 300. However, the proposed RMF-MVS + DSW performed better than the existing 3 MRP + DSW scheme. This is due to the fact that probability of vehicle stoppage has been considered for the vehicle trajectory estimation. Likewise, the hello message receive rate and road vehicle density estimation with the higher value was given to the vehicle direction towards the destination. The 3 MRP + DSW and RMF-DSW scheme attained 16.9% and 5.6% performance, respectively. Hence, the percentage performance improvement for the proposed scheme against the baseline scheme was 11.3%. Figure 10b represents the results of the PLR metrics evaluation considering different data rates. Considering the results, the PLR of the video data is almost zero, which is very low, but increases as the data rate increases. It is observed that the video packet loss is high in the case of 3 MRP + DSW from when the data rate is 800 kbps to 1600 kbps. However, the proposed RMF-MVS + DSW performed better than the existing 3 MRP + DSW scheme. This is due to the consideration of the dynamic self-weight score for the multiple metrics employed. The 3 MRP + DSW and RMF-MVS + DSW schemes 12.4% and 1.7% performance, respectively. Hence, the percentage performance improvement for the proposed scheme against the baseline scheme 10.7%. Figure 11a depicts the results of 3 MRP + DSW and RMF-MVS + DSW, which is based on different vehicle densities. In the multi-metrics with dynamic weight score, lower delay has been encountered compared to the normal 3 MRP and RMF-MVS. From the results, the RMF-MVS + DSW outperforms the baseline scheme, that is, 3 MRP + DSW.