TY - GEN
T1 - Coverage Analysis of Blockchain-enabled Wireless IoMT Networks
AU - Li, Xuran
AU - Dai, Hong Ning
AU - Tian, Jie
AU - Wan, Dehuan
AU - Li, Dengwang
N1 - Funding Information:
2019QYTPY020), Macao Science and Technology Development Fund under Grant No. 0026/2018/A1 and Hong Kong Institute of Business Studies (HKIBS) Research Seed Fund with Grant No. HKIBS RSF-212-004.
Funding Information:
ACKNOWLEDGEMENT This work was funded by the National Natural Science Foundation of China (61971271), the Taishan Scholars Project of Shandong Province (Tsqn20161023), the Primary Research and Development Plan of Shandong Province (No.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/12
Y1 - 2021/12
N2 - The blockchain-enabled wireless Internet of medical things (IoMT) system has recently drawn extensive attention due to the provision of highly-secured healthcare services. However, multiple simultaneous transmissions in blockchain-enabled IoMT (BC-IoMT) networks can cause interference, consequently degrading the overall performance of the system. It is necessary to investigate the performance of BC-IoMT networks. In this paper, we propose a novel analytical framework for wireless BCIoMT networks with consideration of both the spatial model on geographical random distribution of IoMT users and the temporal model on stochastic nature of data block transmission. With this framework, we derive a closed-form expression of the coverage probability in the wireless BC-IoMT network. Our extensive simulation results verify the accuracy of our theoretical analysis. From the analytical framework, we find that the path loss effect, the number of interfering medical sensor devices, and the threshold of successful transmission have a significant impact on the coverage performance of wireless BC-IoMT networks.
AB - The blockchain-enabled wireless Internet of medical things (IoMT) system has recently drawn extensive attention due to the provision of highly-secured healthcare services. However, multiple simultaneous transmissions in blockchain-enabled IoMT (BC-IoMT) networks can cause interference, consequently degrading the overall performance of the system. It is necessary to investigate the performance of BC-IoMT networks. In this paper, we propose a novel analytical framework for wireless BCIoMT networks with consideration of both the spatial model on geographical random distribution of IoMT users and the temporal model on stochastic nature of data block transmission. With this framework, we derive a closed-form expression of the coverage probability in the wireless BC-IoMT network. Our extensive simulation results verify the accuracy of our theoretical analysis. From the analytical framework, we find that the path loss effect, the number of interfering medical sensor devices, and the threshold of successful transmission have a significant impact on the coverage performance of wireless BC-IoMT networks.
UR - http://www.scopus.com/inward/record.url?scp=85126097708&partnerID=8YFLogxK
U2 - 10.1109/GCWkshps52748.2021.9682144
DO - 10.1109/GCWkshps52748.2021.9682144
M3 - Conference proceeding
AN - SCOPUS:85126097708
SN - 9781665423915
T3 - IEEE Globecom Workshops - Proceedings
SP - 1
EP - 5
BT - 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings
PB - IEEE
T2 - 2021 IEEE Globecom Workshops, GC Wkshps 2021
Y2 - 7 December 2021 through 11 December 2021
ER -