Bipasha Guha Roy
Quality of Service-aware 6G-Enabled NB-IoT for Health Monitoring in Long Distance High-Speed Trains
Roy, Bipasha Guha; Roy, Deepsubhra Guha; Dutta, Piyali; Khan, Surbhi Bhatia; Asiri, Fatima; Ayadi, Manel
Authors
Deepsubhra Guha Roy
Piyali Dutta
Dr Surbhi Khan S.Khan138@salford.ac.uk
Lecturer in Data Science
Fatima Asiri
Manel Ayadi
Abstract
Internet of Things connectivity in home health monitoring is a high-in-demand application area. The electronics industry and procedural researchers seek high-end, secured, on-time, cost-effective ways to build reliable quality of service (QoS) proved autonomous systems using existing wireless techniques. Also, the continuous availability of a traffic-free gateway, particularly in isolated places, is necessary for large-scale data gathering and real-time data update processes to function the sensor nodes in an Internet of Things (IoT) network. Improved Narrowband IoT (NB-IoT) is one of the most desirable networks offered by 6th generation (6G) connectivity in IoT-associated remote-monitoring proceedings. In this article, we propose a QoS-aware narrow bandwidth allocation-based prototype model for healthcare monitoring in long-distance high-speed trains during the patient transfer from home to the healthcare center or vice versa. This article demonstrates a possible enhancement in social aspects of cognitive IoT applications with large data systems in industrial informatics.
Journal Article Type | Article |
---|---|
Online Publication Date | Feb 10, 2025 |
Deposit Date | May 9, 2025 |
Publicly Available Date | May 9, 2025 |
Journal | IEEE Transactions on Consumer Electronics |
Print ISSN | 0098-3063 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1109/tce.2025.3540197 |
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