AI for quality enhancement of video streaming for ageing adults’ entertainment in rural areas
M. Jesús-Azabal, J. Galán-Jiménez, J. García-Alonso
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AbstractVideo streaming has emerged as a leading main multimedia trend, offering entertainment to the ageing adult population (Cui, K. et al.). This technology serves as a valuable tool for alleviating feelings of loneliness, allowing for the enjoyment of both recorded and live content, including films and video calls. Such services necessitate high Quality of Service (QoS), dependent on the availability of technologies such as 4G, 5G, and cloud computing. However, many isolated rural areas suffer from a lack of communication infrastructure, attributed to either the necessary financial investment or geographical challenges. In these contexts, the deployment of streaming-based applications becomes a challenge, adversely affecting the quality of life for the rural populace. Mobile Adhoc Networks (MANETs) present an alternative solution for these scenarios, supporting data transmission between devices without the need for a centralized control unit and utilizing wireless interfaces such as WiFi or Bluetooth. Thus, these devices can move around, changing network’s structure and leading to varying connections. Yet, this dynamic nature poses its own set of challenges, introducing instabilities in the links and complicating the consistency of the network (Goyal P. et al.). This abstract outline a communication architecture designed for video streaming over MANETs in remote rural regions. Utilizing a Machine Learning (ML) model, it classifies connections by their stability to optimize video frame compression.Keywords: mobile adhoc networks, live-video streaming,machine learning, offline streaming, isolated rural areas
M. Jesús-Azabal, J. Galán-Jiménez, J. García-Alonso (2024). AI for quality enhancement of video streaming for ageing adults’ entertainment in rural areas. Gerontechnology, 23(2), 1-1
https://doi.org/10.4017/gt.2024.23.s.974.opp