Energy Efficient Real-Time E-Healthcare System Based on Fog Computing

Farhana  Islam; Tawhida Akand; Sohag Kabir

doi:10.47852/bonviewJCCE32021070

Authors

Farhana Islam Bangabandhu Sheikh Mujibur Rahman Digital University, Bangladesh https://orcid.org/0000-0002-7933-4390
Tawhida Akand Khulna University of Engineering and Technology, Bangladesh
Sohag Kabir University of Bradford, UK https://orcid.org/0000-0001-7483-9974

DOI:

https://doi.org/10.47852/bonviewJCCE32021070

Keywords:

e-health, Internet of Things, fog computing, cloud computing, energy efficiency

Abstract

The rapid development of Internet of Things (IoT)-enabled systems in public and private spaces offers consumers numerous conveniences. Among different Internet-connected systems, the use of e-health systems is growing rapidly. The utilization of IoT devices and cloud-fog network technologies has made e-healthcare provision more convenient. While providing valuable services to the healthcare sector, like any other IoT-enabled systems it is putting pressure on energy, an essential element of life. Therefore, it is imperative to know the energy consumption model of e-health systems. Considering the importance of energy consumption in IoT based systems, this article develops a cloud-fog-based e-health system and makes it energy efficient by understanding energy consumption at different layers of communication. Moreover, how fog integration with the cloud reduces energy consumption and delays at different stages of communication is discussed.

Received: 15 May 2023 | Revised: 23 June 2023 | Accepted: 9 July 2023

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data available on request from the corresponding author upon reasonable request.