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Efficient Energy Management Using Fog-Based Framework in the Healthcare Industry

Efficient Energy Management Using Fog-Based Framework in the Healthcare Industry
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Author(s): Susheela Hooda (Chitkara University Institute of Engineering and Technology, Chitkara University, India)and Vandana Sachdeva (Chitkara University Institute of Engineering and Technology, Chitkara University, India)
Copyright: 2025
Pages: 18
Source title: Integration of AI, Quantum Computing, and Semiconductor Technology
Source Author(s)/Editor(s): Brojo Kishore Mishra (NIST University, Berhampur, India)
DOI: 10.4018/979-8-3693-7076-6.ch011

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Abstract

Fog computing brings computation closer to the data source by utilizing resources at the network edge, such as routers, gateways, or even devices themselves. By providing data processing closer to where it is needed, Fog Computing in healthcare speeds up data processing for better patient care by saving time and energy. But Fog nodes often have limited resources, making it tough to optimize energy use without compromising service quality. To improve energy efficiency in fog computing environments, this chapter leverages technological advancements. In healthcare, Fog-based frameworks can monitor and analyze patient data in real-time, helping medical professionals for better decision making. This study is a collection of frameworks created for fog computing applications in healthcare. The frameworks comprise three layers: objects, fog nodes, and a cloud data center. The results emphasize how crucial energy-saving frameworks are to expanding the potential of fog computing in healthcare infrastructure

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