Potent blockchain-rnabled socket RPC Internet of Healthcare Things (IoHT) framework for medical enterprises
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Published version
Author(s)
Lakhan, Abdullah
Morten Groenli, Tor
Majumdar, Arnab
Khuwuthyakorn, Pattaraporn
Hussain Khoso, Fida
Type
Journal Article
Abstract
Present-day intelligent healthcare applications offer digital healthcare services to users in a distributed manner. The Internet of Healthcare Things (IoHT) is the mechanism of the Internet of Things (IoT) found in different healthcare applications, with devices that are attached to external fog cloud networks. Using different mobile applications connecting to cloud computing, the applications of the IoHT are remote healthcare monitoring systems, high blood pressure monitoring, online medical counseling, and others. These applications are designed based on a client–server architecture based on various standards such as the common object request broker (CORBA), a service-oriented architecture (SOA), remote method invocation (RMI), and others. However, these applications do not directly support the many healthcare nodes and blockchain technology in the current standard. Thus, this study devises a potent blockchain-enabled socket RPC IoHT framework for medical enterprises (e.g., healthcare applications). The goal is to minimize service costs, blockchain security costs, and data storage costs in distributed mobile cloud networks. Simulation results show that the proposed blockchain-enabled socket RPC minimized the service cost by 40%, the blockchain cost by 49%, and the storage cost by 23% for healthcare applications.
Date Acceptance
2022-06-06
Citation
Sensors, 22 (12), pp.4346-4346
ISSN
1424-8220
Publisher
MDPI AG
Start Page
4346
End Page
4346
Journal / Book Title
Sensors
Volume
22
Issue
12
Copyright Statement
© 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
License URL
Identifier
https://www.mdpi.com/1424-8220/22/12/4346
Subjects
Analytical Chemistry
0502 Environmental Science and Management
0602 Ecology
0301 Analytical Chemistry
0805 Distributed Computing
0906 Electrical and Electronic Engineering
Publication Status
Published
Date Publish Online
2022-06-08