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Title

An Efficient MAC Protocol for Blockchain-Enabled Patient Monitoring in a Vehicular Network.

Authors

Ullah, Muhammad Aman; Alvi, Ahmad Naseem; Javed, Muhammad Awais; Khan, Muhammad Badruddin; Abul Hasanat, Mozaherul Hoque; Saudagar, Abdul Khader Jilani; Alkhathami, Mohammed

Abstract

Blockchain is an emerging computing platform that provides recording and tracking facilities to substantially increase the security issues in healthcare systems. The evolution of wireless body area networks requires the continuous monitoring of the health parameters of traveling patients while traveling on road. The health parameter data of each patient are sent to the Road Side Units (RSUs) for generating the blocks by computing the required hash functions. A major challenge in such a network is to efficiently exchange the data blocks between mining RSUs and vehicles using a medium access protocol with a reduced number of collisions. The medium access problem becomes more challenging due to the vehicle mobility, high vehicle density and the varying nature of the data generated by the vehicles. In this work, a TDMA-based MAC protocol to meet an Adaptive Patients Data traffic for Vehicular Network ( T A P D V N ) is proposed. T A P D V N is specifically designed for patients in a vehicular network by considering the frequent entry and exit of vehicles in a mining node's coverage area. It allows mining nodes to adjust time slots according to the sensitive patient's data and allows the maximum number of patient vehicular nodes by considering their sensitivity to send their data in a session to compute their hash values accordingly. Simulation results verify that the proposed scheme accommodates the maximum number of high-risk patient data and improves bandwidth utilization by 20%.

Subjects

PATIENT monitoring; BODY area networks; BLOCKCHAINS; CARRIER sense multiple access; COMPUTING platforms; TRAVEL hygiene

Publication

Applied Sciences (2076-3417), 2022, Vol 12, Issue 21, p10957

ISSN

2076-3417

Publication type

Academic Journal

DOI

10.3390/app122110957

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