Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/75637
Title: Smart-contract aware ethereum and client-fog-cloud healthcare system
Authors: Abdullah Lakhan
Mazin Abed Mohammed
Ahmed N. Rashid
Seifedine Kadry
Thammarat Panityakul
Karrar Hameed Abdulkareem
Orawit Thinnukool
Authors: Abdullah Lakhan
Mazin Abed Mohammed
Ahmed N. Rashid
Seifedine Kadry
Thammarat Panityakul
Karrar Hameed Abdulkareem
Orawit Thinnukool
Keywords: Biochemistry, Genetics and Molecular Biology;Chemistry;Computer Science;Engineering;Physics and Astronomy
Issue Date: 2-Jun-2021
Abstract: The Internet of Medical Things (IoMT) is increasingly being used for healthcare purposes. IoMT enables many sensors to collect patient data from various locations and send it to a distributed hospital for further study. IoMT provides patients with a variety of paid programmes to help them keep track of their health problems. However, the current system services are expensive, and offloaded data in the healthcare network are insecure. The research develops a new, cost-effective and stable IoMT framework based on a blockchain-enabled fog cloud. The study aims to reduce the cost of healthcare application services as they are processing in the system. The study devises an IoMT system based on different algorithm techniques, such as Blockchain-Enable Smart-Contract Cost-Efficient Scheduling Algorithm Framework (BECSAF) schemes. Smart-Contract Blockchain schemes ensure data consistency and validation with symmetric cryptography. However, due to the different workflow tasks scheduled on other nodes, the heterogeneous, earliest finish, time-based scheduling deals with execution under their deadlines. Simulation results show that the proposed algorithm schemes outperform all existing baseline approaches in terms of the implementation of applications.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85107814257&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/75637
ISSN: 14248220
Appears in Collections:CMUL: Journal Articles

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