Smart-Contract Aware Ethereum and Client-Fog-Cloud Healthcare System

Area of Science:

• Computer Science
• Healthcare Technology
• Cybersecurity

Background:

• The Internet of Medical Things (IoMT) facilitates remote patient data collection but faces challenges with high costs and data insecurity.
• Existing IoMT systems are expensive and vulnerable to security breaches, hindering widespread adoption in healthcare.

Purpose of the Study:

• To develop a novel, cost-effective, and secure IoMT framework.
• To reduce the operational costs of healthcare application services within the IoMT ecosystem.
• To enhance data consistency, validation, and timely execution of tasks in a distributed healthcare network.

Main Methods:

• Implementation of a blockchain-enabled fog cloud architecture for IoMT.
• Development of the Blockchain-Enable Smart-Contract Cost-Efficient Scheduling Algorithm Framework (BECSAF).
• Utilizing smart contracts and symmetric cryptography for data integrity and validation.
• Employing heterogeneous, earliest finish, time-based scheduling for workflow task execution.

Main Results:

• The proposed BECSAF algorithm demonstrates superior performance compared to existing baseline approaches.
• The framework ensures data consistency and validation through smart-contract blockchain schemes.
• The system effectively manages heterogeneous workflow tasks, meeting execution deadlines.
• Simulation results confirm the efficiency and stability of the developed IoMT framework.

Conclusions:

• The blockchain-enabled fog cloud framework offers a cost-effective and stable solution for IoMT.
• The BECSAF algorithm significantly improves the implementation of IoMT applications.
• This research addresses key challenges in IoMT, paving the way for more secure and affordable healthcare solutions.