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© 2024. This work is published under http://www.ijana.in/index.php (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

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 IoT based 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.

Details

Title
IoT-Enabled Quality of Experience Enhancement in Adaptive Video Streaming: A Personalized and Context-Aware Approach
Author
Khan, Koffka 1 

 Department of Computing and Information Technology, St Augustine, University of the West Indies 
Pages
6254-6262
Publication year
2024
Publication date
Jul/Aug 2024
Publisher
Eswar Publications
ISSN
09750290
e-ISSN
09750282
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3086409247
Copyright
© 2024. This work is published under http://www.ijana.in/index.php (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.