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

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

5 Scopus Citations
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Author(s)

  • Joy Lal Sarkar
  • Ramasamy V
  • Abhishek Majumder
  • Bibudhendu Pati
  • Chhabi Rani Panigrahi
  • Nawab Muhammad Faseeh Qureshi
  • Chunhua Su
  • Kapal Dev

Related Research Unit(s)

Detail(s)

Original languageEnglish
Number of pages8
Journal / PublicationIEEE/ACM Transactions on Computational Biology and Bioinformatics
Online published26 Jul 2022
Publication statusOnline published - 26 Jul 2022

Abstract

The Industrial Internet of Things (IIoT) has been introduced in an era of increasingly broad potentials in the medical industry. In recent years, IIoT-based healthcare applications have grown in popularity, with the majority of them relying on Wireless Body Area Network (WBAN) for flexibility. There have been a few recent works that have investigated SDN-based fog architecture for constructing smart healthcare systems. However, the best fog node from the fog layer must be identified and limit the transmission of unnecessary data. To address this issue, the Intelligent Software-defined Fog Architecture (i-Health) is developed in this work. Based on the prior data pattern of each patient, the controller will decide whether to send the data to the fog layer. Furthermore, we introduced the Fog Ranking Service (FRS) and Fog Probing Service (FPS) to select the best fog node. The performance comparison reveals that the proposed i-Health outperforms existing benchmark approaches.

Research Area(s)

  • Cloud computing, Computer architecture, Edge computing, Fog node, IIoT, Industrial Internet of Things, Medical services, patient, SDN, Sensors, Wireless communication

Citation Format(s)

I-Health : SDN-Based Fog Architecture for IIoT Applications in Healthcare. / Sarkar, Joy Lal; V, Ramasamy; Majumder, Abhishek et al.

In: IEEE/ACM Transactions on Computational Biology and Bioinformatics, 26.07.2022.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review