Optimizing Streaming Aeromodelling for Data Density Analysis

Abstract

Streaming is a method of sending continuous data over the internet, either live or indirectly. Data transfer rates vary between day and night, which is influenced by user activity. This study analyzes live video streaming services on First-person view (FPV) aeromodelling with standard configurations to determine their optimal performance. Distance measurements and environmental conditions on FPV aeromodelling are needed to analyze Quality of Service (QoS), including delay, jitter, and throughput using Wireshark software. This study provides an understanding of the dynamics of network traffic based on time, especially the difference in data density between day and night. From the tests carried out, the best value comparisons were obtained for data delay: 0.008974 m/s (night) and 0.021363 m/s (day). For jitter: 29.9641 m/s (night) and 29.80377 m/s (day). As for throughput: 0.401 packets/s (night) and 0.8239 packets/s (day). All these values ​​are in accordance with the ITU-T recommendation standard, indicating that the overall QoS obtained is quite good.