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ToolsMalik, Hassan, Alam, Muhammad Mahtab, Moullec, Yannick Le and Kuusik, Alar (2018) NarrowBand-IoT Performance Analysis for Healthcare Applications. Procedia Computer Science, 130. pp. 1077-1083. ISSN 1877-0509
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Abstract
In future remote healthcare monitoring system, it is necessary to constantly monitor the patients physiological parameters. For example, a pregnant woman parameters such as blood pressure and heart rate of the woman and heart rate and movements of fetal to control their health condition. To support the high-intensity and short-lived demands of these emerging applications, Narrowband Internet of Things (NB-IoT) is a promising technology that provides long-range communications at a low data rate for sensors with reduced device processing complexity and long battery lifetime. This paper aims to investigate the realistic performance of NB-IoT in terms of effective throughput, patient served per cell and latency in healthcare monitoring system with both in-band and stand-alone deployment.
| Item Type: | Article |
|---|---|
| Additional Information: | This project has received funding from the European Unions Horizon 2020 research and innovation program under grant agreement No 668995. This material reflects only the authors view and the EC Research Executive Agency is not responsible for any use that may be made of the information it contains. |
| Uncontrolled Keywords: | device capacity,healthcare monitoring,latency,narrowband internet of things (nb-iot)',system-level analysis,throughput,computer science(all) ,/dk/atira/pure/subjectarea/asjc/1700 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 02 Jul 2025 16:30 |
| Last Modified: | 14 Jul 2025 12:33 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/99821 |
| DOI: | 10.1016/j.procs.2018.04.156 |
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