Track: Research Track |
Enhancing Real-Time Multilingual Communication in Virtual Meetings Through Optimized WebRTC Broadcasting |
Communication and collaboration are pivotal in today’s globalized and remote work environments. Traditional video conferencing solutions often struggle with diverse linguistic needs and high latency, leading to communication challenges. This paper presents a solution to overcome these limitations by optimizing WebRTC broadcasting for RealTIME, high-quality, and low-latency multilingual communication in virtual meetings. Recent improvements in WebRTC standards and the demise of flash technology have sped up the adoption of WebRTC for a range of media-based uses, such as broadcasting and video conferences. However, WebRTC’s lack of standardized signaling mechanisms has given rise to a variety of methods for building effective networks for users. The goal of this research is to develop a scalable architecture for video broadcasting to numerous users by optimizing peer-to-peer networks while addressing multilingual translation challenges. A modified partial mesh model with location-based signaling has been proposed in response to scalability issues with traditional mesh-based networks. Peers create connections in this model based on proximity, which lowers latency and boosts reliability. In comparison to standard models, the experimental results show that the modified partial mesh network significantly reduces broadcasters’ bandwidth consumption. It is acknowledged that there are scalability issues.A hybrid strategy that combines server-based solutions and the partial mesh model is examined as a workable way to solve this and scale beyond a certain user threshold. Overall, this paper focuses on efficient and scalable WebRTC broadcasting solutions, enhancing real-time multilingual communication in virtual meetings and addressing the challenges faced by traditional video conferencing systems. |
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Presentation Video |