The Internet of things (IoT) extends the Internet space by allowing smart things to sense
and/or interact with the physical environment and communicate with other physical objects …

Machine learning models, particularly reinforcement learning (RL), have demonstrated great
potential in optimizing video streaming applications. However, the state-of-the-art solutions …

Real-time communication (RTC) applications like video conferencing or cloud gaming
require consistent low latency to provide a seamless interactive experience. However …

Video-conferencing applications impose high loads and stringent performance requirements
on the network. To better understand and manage these applications, we need effective …

Maximizing the quality of experience (QoE) for real-time video is a long-standing challenge.
Traditional video transport protocols, represented by a few deterministic rules, can hardly …

The IPv6 routing protocol for low power and lossy networks (RPL) was accepted as the
standard routing protocol for Internet of Things (IoT) by Internet engineering task force on …

Interactive streaming requires minimizing stuttering events (or deadline misses for video
frames) to ensure seamless interaction between users and applications. However, existing …

Bandwidth prediction is critical in any Real-time Communication (RTC) service or
application. This component decides how much media data can be sent in real time …

This review article analyses the substantial influence of artificial intelligence (AI) in
forecasting the performance of broadband networks. The examination encompasses crucial …

Contemporary real-time video communication systems, such as WebRTC, use an adaptive
bitrate (ABR) algorithm to assure high-quality and low-delay services, eg, promptly adjusting …