Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Enhancing Healthcare with Fog Computing: Resource Optimization for Smart Patient Care

Authors
Chanchal Ahlawat1, *, Jatin Sinha1, Deeksha Bhardwaj1, Vidushi Singh1, Arindam Rawat1
1School of CS and Eng. Tech (SCSET), Bennett University, Greater Noida, India
*Corresponding author. Email: Chanchal.ahlawat@bennett.edu.in
Corresponding Author
Chanchal Ahlawat
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_200How to use a DOI?
Keywords
Fog; computing; Smart Healthcare; Cloud Computing; Latency; real-time Application
Abstract

Fog computing is quickly becoming a game changer in healthcare by addressing some of the limitations of traditional cloud systems. Processes data locally, right at the network’s edge, which means it can reduce delays, better manage bandwidth, and improve how quickly healthcare systems can respond in real time. This paper delves into how fog computing’s multi-layered architecture works together with healthcare IoT devices to support essential services like monitoring patients remotely, analyzing surgical data and managing chronic illnesses. Discussion of various techniques for scheduling tasks, scaling systems, and allocating resources, discussing how each affects performance and helps cut down on latency. Also, explored how fog computing can push forward predictive analytics, boost telemedicine, and maintain continuous care in areas that are typically underserved. Although fog computing has a lot of promise, there are still challenges, such as making different systems work together, ensuring data is secure and handling its growth. This study points out these challenges and suggests directions for future research to fully unlock fog computing’s potential to transform healthcare.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_200How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chanchal Ahlawat
AU  - Jatin Sinha
AU  - Deeksha Bhardwaj
AU  - Vidushi Singh
AU  - Arindam Rawat
PY  - 2025
DA  - 2025/11/04
TI  - Enhancing Healthcare with Fog Computing: Resource Optimization for Smart Patient Care
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2396
EP  - 2409
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_200
DO  - 10.2991/978-94-6463-858-5_200
ID  - Ahlawat2025
ER  -