TY - JOUR
T1 - NarrowBand-IoT Performance Analysis for Healthcare Applications
AU - Malik, Hassan
AU - Alam, Muhammad Mahtab
AU - Moullec, Yannick Le
AU - Kuusik, Alar
N1 - 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.
PY - 2018/4/24
Y1 - 2018/4/24
N2 - 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.
AB - 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.
KW - Device capacity
KW - Healthcare monitoring
KW - Latency
KW - Narrowband Internet of Things (NB-IoT)'
KW - System-level analysis
KW - Throughput
UR - http://www.scopus.com/inward/record.url?scp=85051243304&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2018.04.156
DO - 10.1016/j.procs.2018.04.156
M3 - Conference article
AN - SCOPUS:85051243304
SN - 1877-0509
VL - 130
SP - 1077
EP - 1083
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 9th International Conference on Ambient Systems, Networks and Technologies, ANT 2018
Y2 - 8 May 2018 through 11 May 2018
ER -