Comparison of RTSP and UDP Protocols in Supporting UAV Video Streaming in a Limited Network Environment

Mar’atus Suci Novitasari; Muhamad Syariffuddien Zuhrie; Agus Wiyono; Fendi Achmad; Sayyidul Aulia Alamsyah

Authors

Mar’atus Suci Novitasari Universitas Negeri Surabaya
Muhamad Syariffuddien Zuhrie Universitas Negeri Surabaya
Agus Wiyono Universitas Negeri Surabaya
Fendi Achmad Universitas Negeri Surabaya
Sayyidul Aulia Alamsyah Universitas Negeri Surabaya

Keywords:

RTSP, UDP, UAV Streaming, QoS Parameter, Limited Network

Abstract

This study examines the performance comparison between the Real Time Streaming Protocol (RTSP) and the User Datagram Protocol (UDP) in supporting UAV real-time video streaming within constrained network environments. The research aims to identify which protocol provides better transmission quality when network limitations such as restricted bandwidth, high latency, and fluctuating connectivity occur. The methodology involves capturing and analyzing Quality of Service (QoS) parameters including latency, jitter, throughput, and packet loss under simulated limited-network conditions. Wireshark and controlled bandwidth-limiting scenarios were used to measure protocol behavior during video transmission. The results indicate that UDP achieves lower latency and higher throughput due to its lightweight and connectionless nature, making it more efficient for real-time applications but more susceptible to packet loss in unstable network conditions. In contrast, RTSP, operating over TCP, provides more reliable data delivery with significantly lower packet loss but introduces higher latency and jitter, which may affect real-time responsiveness. These findings offer guidance for selecting an appropriate protocol based on UAV mission requirements and network availability, ensuring more adaptive and efficient video streaming performance in constrained environments.

References

Chanana, A. (2024). Analyzing The Ooda Loop Of An Edge-Enabled Autonomous Drone System. Reports-Archive.Adm.Cs.Cmu.Edu.

Chhetri, G., Brotee, S., Pandey, B., Das, S., Somvanshi, S., Monzurul Islam, M., Sultana Mimi, M., & Koirala, D. (2025). Model Context Protocols In Adaptive Transport Systems: A Survey. In Acm Computing Surveys (Vol. 1, Issue 1). Article. Https://Doi.Org/Xxxxxxx.Xxxxxxx

Enenche, P., Kim, D. H., & You, D. (2023). Network Coding As Enabler For Achieving Urllc Under Tcp And Udp Environments: A Survey. Ieee Access, 11, 76647–76674. Https://Doi.Org/10.1109/Access.2023.3297137

Fernández, F., Khan, F., Zverev, M., Diez, L., Juárez, J. R., Brunstrom, A., & Agüero, R. (2024). Exploiting Stream Scheduling In Quic: Performance Assessment Over Wireless Connectivity Scenarios. Ad Hoc Networks, 164. Https://Doi.Org/10.1016/J.Adhoc.2024.103599

Hana, E. (2025). Studyand Improvement Of The Quality Of Service Of A Video Streaming By Hevc Code Inn Ad-Hoc Networks.

Herfiah, S., Wulandari, A., Meidiansyah, M. R., Studi, P., Multimedia, B., Elektro, J. T., Negeri, P., Jl, J., Siwabessy, G. A., & Baru, K. (2025). Analisis Qos Pada Trafik Layanan Video Streaming Dengan Menggunakan Protokol Ospf. In Politeknik Negeri Jakarta (Vol. 6).

Hodroj, A., Ibrahim, M., & Hadjadj-Aoul, Y. (2021). A Survey On Video Streaming In Multipath And Multihomed Overlay Networks. In Ieee Access (Vol. 9, Pp. 66816–66828). Institute Of Electrical And Electronics Engineers Inc. Https://Doi.Org/10.1109/Access.2021.3076464

K. Kariyamin, I. . Riadi, And H. H. (2023). 15-60-Pb (3).Pdf. Performance Analysis Of Real Time Streaming Protocol (Rtsp) And Real Time Transport Protocol (Rtp) Using Vlc Application On Live Video Streaming, 4(4). Https://Doi.Org/Https://Doi.Org/10.52436/1.Jutif.2023.4.4.698

Michel, F., Cohen, A., Malak, D., De Coninck, Q., Médard, M., & Bonaventure, O. (2022). Flec: Enhancing Quic With Application-Tailored Reliability Mechanisms. Http://Arxiv.Org/Abs/2208.07741

Noerdyah, R., Saputri, A., Nuha, H. H., & Prabowo, S. (2019). Analisis Unjuk Kerja Perfomance-Oriented Congestion Control ( Pcc ) Menggunakan Video Streaming. 6(2), 8714–8726.

Rahouti, M., Xiong, K., Xin, Y., Jagatheesaperumal, S. K., Ayyash, M., & Shaheed, M. (2022). Sdn Security Review: Threat Taxonomy, Implications, And Open Challenges. In Ieee Access (Vol. 10, Pp. 45820–45854). Institute Of Electrical And Electronics Engineers Inc. Https://Doi.Org/10.1109/Access.2022.3168972

Santos, D. Dos. (2024). A Middleware To Mitigate The Latency In Iot Communication Devices.

Sidhu, J. S. (2018). Video Streaming Over Quic: A Comprehensive Study. Https://Doi.Org/Xxxxxxx.Xxxxxxx

Trippa, D., Scalenghe, R., Basso, M. F., Panno, S., Davino, S., Morone, C., Giovino, A., Oufensou, S., Luchi, N., Yousefi, S., & Martinelli, F. (2024). Next-Generation Methods For Early Disease Detection In Crops. In Pest Management Science (Vol. 80, Issue 2, Pp. 245–261). John Wiley And Sons Ltd. Https://Doi.Org/10.1002/Ps.7733

Turner, C. J., & Garn, W. (2022). Next Generation Des Simulation: A Research Agenda For Human Centric Manufacturing Systems. In Journal Of Industrial Information Integration (Vol. 28). Elsevier B.V. Https://Doi.Org/10.1016/J.Jii.2022.100354

Wang, W., Wei, X., Tao, W., Zhou, M., & Ji, C. (2025). Quality Of Experience-Oriented Cloud-Edge Dynamic Adaptive Streaming: Recent Advances, Challenges, And Opportunities. In Symmetry (Vol. 17, Issue 2). Multidisciplinary Digital Publishing Institute (Mdpi). Https://Doi.Org/10.3390/Sym17020194