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.

Highlights

  • The World Health Organization has declared the Coronavirus pandemic a global health emergency (WHO)

  • The Internet of Medical Things (IoMT) system is an emerging healthcare monitor paradigm that consists of devices, sensors, wireless network, and fog-cloud computing [1,2]

  • The study devised the novel, cost-efficient and secure IoMT system based on the blockchain-enabled fog cloud

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Summary

Introduction

The World Health Organization has declared the Coronavirus pandemic a global health emergency (WHO). Devices act as the thin client, and fog-cloud nodes are thick to process all requests with enriching resources in the IoMT system This offloading mechanism poses many research challenges for healthcare applications, such as data security, malware attack, denial of services and storage issue with unknown external servers [7]. In order to solve the task scheduling problem in the IoMT workflow application, the study proposed the Blockchain-Enable SmartContract Cost-Efficient Scheduling Algorithm Framework (BECSAF), which consists of the following schemes: Smart-Contract-Scheme, Function Verification Pool, Task and Function Sequencing, Resource Matching, Smart-Contract Aware Blockchain-Enable TaskScheduling. The goal is to schedule tasks for the decentralized functions, minimize the execution cost, and meet the application deadline during processing in the system; To ensure the blockchain validity of distributed data and management of the load balancing situation, the resource leakage efficient blockchain-enabled schemes are devised to avoid any resource and disk-bound application failure in the system.

Related Work
Objective
Problem Description
System Model
Problem Formulation
Proposed Schemes
Function Verification
Topological Ordering of Tasks
Smart-Contract Aware Ethereum and HEFT Dynamic Scheduling
Performance Evaluation
System Implementation
IoMT Sensors
IoMT Application
Edgex Foundry
Baseline-Approaches
Result Discussion
Fault-Tolerant
Blockchain-Enable Fog-Cloud Performance
Conclusions and Future Work
Full Text
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