Performance Evaluation of Blockchain Consensus Algorithms for Electronic Health Record Sharing

Faiza Hashim, Khaled Shuaib, Farag Sallabi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In any blockchain network, a consensus algorithm is considered a major factor in determining the performance of the network. This study aims to investigate consensus algorithms in healthcare blockchains for electronic health record (EHR) sharing by analyzing the scalability performance of these algorithms. Several consensus algorithms have been proposed in the literature and have been used for various types of blockchain networks. Herein, we analyze the performance of proof of work, practical Byzantine fault tolerance, and proof of authority (PoA) algorithms in the healthcare domain and propose an improved real-time PoA consensus algorithm for EHR sharing for faster consensus and block generation. Results of performed simulations show that the proposed algorithm outperforms previous consensus algorithms in terms of consensus time, number of blocks generated, network throughput, and scalability.

Original languageEnglish
Title of host publicationProceedings of 2021 Global Congress on Electrical Engineering, GC-ElecEng 2021
EditorsJaser Mahasneh
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages136-143
Number of pages8
ISBN (Electronic)9781665420389
DOIs
Publication statusPublished - 2021
Event2021 Global Congress on Electrical Engineering, GC-ElecEng 2021 - Valencia, Spain
Duration: Dec 10 2021Dec 12 2021

Publication series

NameProceedings of 2021 Global Congress on Electrical Engineering, GC-ElecEng 2021

Conference

Conference2021 Global Congress on Electrical Engineering, GC-ElecEng 2021
Country/TerritorySpain
CityValencia
Period12/10/2112/12/21

Keywords

  • consensus algorithm
  • electronic health record sharing
  • Healthcare blockchain

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Instrumentation

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