IoT-Enabled Quality of Experience Enhancement in Adaptive Video Streaming: A Personalized and Context-Aware Approach

As the demand for high-quality video streaming experiences continues to rise, the integration of Internet of Things (IoT) technology presents a promising avenue for enhancing Quality of Experience (QoE). This review paper investigates the potential of leveraging IoT-generated data, including environmental conditions and user context, to optimize adaptive video streaming. The focus is on personalized and context-aware content delivery strategies, aiming to tailor the streaming experience to individual user preferences and dynamically changing contextual factors. The paper explores key QoE metrics, such as buffering, latency, and video quality, and examines how IoT data sources contribute to their improvement. Case studies and experiments demonstrating the effectiveness of IoTbased QoE enhancement are presented, along with discussions on challenges, considerations, and future research opportunities. The findings underscore the significance of adopting a holistic and adaptive approach to video streaming, where IoT plays a pivotal role in creating a more immersive and satisfying user experience.