Coverage Analysis of Blockchain-enabled Wireless IoMT Networks

Xuran Li, Hong Ning Dai, Jie Tian, Dehuan Wan, Dengwang Li

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review


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.

Original languageEnglish
Title of host publication2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings
Number of pages5
ISBN (Electronic)9781665423908
ISBN (Print)9781665423915
Publication statusPublished - Dec 2021
Event2021 IEEE Globecom Workshops, GC Wkshps 2021 - Madrid, Spain
Duration: 7 Dec 202111 Dec 2021

Publication series

NameIEEE Globecom Workshops - Proceedings


Conference2021 IEEE Globecom Workshops, GC Wkshps 2021

Scopus Subject Areas

  • Information Systems
  • Signal Processing
  • Software
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications


Dive into the research topics of 'Coverage Analysis of Blockchain-enabled Wireless IoMT Networks'. Together they form a unique fingerprint.

Cite this