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




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


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.


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How to Cite

Islam, F., Akand, T., & Kabir, S. (2023). Energy Efficient Real-Time E-Healthcare System Based on Fog Computing. Journal of Computational and Cognitive Engineering, 3(2), 130–140.



Research Articles