Optimizing WebRTC Protocol for Seamless Video Conferencing in Rural Areas

Barrak, Azher; Hussein, Ahmed; Meftin, Hasan

doi:10.25673/123721

Proceedings of International Conference on Applied Innovation in IT · 2026/03/31 · Vol. 14 · Issue 1 · pp. 1213–1219

Optimizing WebRTC Protocol for Seamless Video Conferencing in Rural Areas

Azher S. Barrak, Ahmed Ali Hussein, Hasan Safey and Noor Kadhim Meftin

📄 Download PDF DOI: 10.25673/123721

Abstract

Video conferencing is a vital facilitator to tele-education, tele-health and e-governance, which has become seamless. Nevertheless, rural regions have still been a major impediment with low bandwidth, high latency, and loss of packets and poor connectivity. The paper suggests a Rural-Aware WebRTC (RAW) framework, which improves the default WebRTC protocol with cross-layer link sensing, adaptive bitrateresolutionframerate, loss-aware error recovery (RTX/FEC), and dynamic jitter buffer tuning. The framework is set in such a way so that it can live up to standards and enhance performance in rural settings that are resource constrained. RAW was compared with baseline Google Congestion Control (GCC) using emulated network profile and field traces, one-to-one and multi-party conferencing with RAW. It has been proven that RAW can reach 18 percent better video quality (VMAF), 26 percent less latency, and up to 50 percent less freezes without excess data consumption. The system incorporates predictive adaptation and selective reliability functions, to provide enhanced user experience without proprietary client alterations. This paper shows that simple protocol-level optimizations can have a beneficial effect on Quality of Experience (QoE) of rural users. The vision is AI-based congestion control, mobile adaptation based on energy, and implementing community-based edge servers to allow inclusive, reliable real-time communication in underserved regions.

Keywords

Webrtc Rural Connectivity Adaptive Bitrate Congestion Control FEC/RTX Jitter Buffer Qoe Video Conferencing.

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