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I-Health: SDN-Based Fog Architecture for IIoT Applications in Healthcare.

Joy Lal Sarkar, Ramasamy V, Abhishek Majumder

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|July 26, 2022

Summary

This study introduces Intelligent Software-defined Fog Architecture (i-Health) for efficient Industrial Internet of Things (IIoT) healthcare. i-Health optimizes data transmission and selects the best fog node, outperforming existing methods.

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Area of Science:

Computer Science
Biomedical Engineering
Network Engineering

Background:

The Industrial Internet of Things (IIoT) offers significant potential in the medical industry.
IIoT-based healthcare applications, often using Wireless Body Area Networks (WBANs), are increasingly popular.
Existing research on SDN-based fog architecture for smart healthcare lacks optimal fog node selection and data transmission control.

Purpose of the Study:

To develop an Intelligent Software-defined Fog Architecture (i-Health) for optimized IIoT healthcare systems.
To intelligently select the best fog node within the fog layer to minimize unnecessary data transmission.
To enhance the efficiency and performance of healthcare data management in IIoT environments.

Main Methods:

Developed the Intelligent Software-defined Fog Architecture (i-Health).
Implemented a controller that decides data transmission to the fog layer based on patient data patterns.
Introduced Fog Ranking Service (FRS) and Fog Probing Service (FPS) for optimal fog node selection.

Main Results:

The i-Health architecture effectively manages data flow in IIoT healthcare.
The Fog Ranking Service and Fog Probing Service successfully identify the most suitable fog nodes.
Performance comparisons demonstrate that i-Health surpasses existing benchmark approaches in efficiency and effectiveness.

Conclusions:

The proposed i-Health provides an intelligent and efficient solution for IIoT-based healthcare.
Optimized fog node selection and data transmission control are crucial for smart healthcare systems.
i-Health represents a significant advancement in leveraging IIoT for improved medical industry applications.