Cited by 15IoT and Edge/Fog ComputingInternet of Things and AIInnovation in Digital Healthcare Systems

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Leveraging Context-Aware Fogging for Advanced Remote Patient Monitoring and Healthcare in Modern Life

Poddar, Hitha, Roy, Vandana, Bhoyar, Mayur, Gangrade, Alka, Venkata Kowshik, Kolla Naga, Rathod, Priyanshu·2025·2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0

Abstract

This paper examines the integration of fog computing in current RPM systems with a focus on latency and real-time response capabilities. Unlike typical cloud models, fog computing layers computation closer to the edge devices therefore enhancing decentralization. This work provides an overview of how fog layers are incorporated in RPM for data pre-processing, context computations, and security. These are features such as the ability to generate rules dynamically, facilitating high accuracy of the health status determined by physiological, behavioral as well as environmental parameters. With the help of the implemented context-aware access control (CAAC) mechanism, which is backed up by the utilization of public key infrastructure, data security is reached. The design strategy discussed in this paper and implemented using NS-2 shows enhanced performance not only in relationships of packet delivery ratio, throughput, and end-to-end delay but also in other important measures. The comparative analysis shows that the integration of fog computing improves system performance, in media transmission, and responses are computed faster than those of cloud-only solutions. These discoveries strengthen the impact of fog computing to overcome latency, scalability, and security issues in IoT-based healthcare systems making it an enabler of real-life, life-critical applications.

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Crossref · 10.1109/otcon65728.2025.11070467

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Research works printed but not linked: 3

  1. Agarwal, 2019, Design of self-management aware autonomic resource scheduling scheme in cloud, International Journal of Computer Information Systems and Industrial Management Applications, 11, 8
  2. Bhupathi, 2023, Deep Learning and EV Charging: Battery Life and Performance, ESP International Journal of Advancements in Science & Technology (ESP-IJAST), 1, 29
  3. Dixit, 2019, Creation and Data Analysis of Women Safety Index of Delhi And It’s Neighbouring Cities, SCOPUS listed, International Journal of Recent Technology and Engineering (IJRTE), 7, 432

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Metadata

Authors
Poddar, H., Roy, V., Bhoyar, M., Gangrade, A., Venkata Kowshik, K. N., & Rathod, P.
Affiliations
  • Easwari Engineering College (IN)
  • Gyan Ganga Institue of Technology and Sciences,DoEC,Jabalpur,MP
  • Jagadambha College of Engineering and Technology,Yavatmal,Maharashtra,India
  • IES College of Technology,Department of Computer Science & Engineering,Bhopal,Madhya Pradesh,India,462044
  • CMR Engineering College,Dept. of Computer Science and Engineering,Hyderabad,Telangana,India
  • RK University (IN)
Venue
2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0
Publisher
IEEE
Published
2025-04-09
Pages
1-6
OpenAlex
W4412404297
Cited by
15
References
23
Citations by year
2026: 7 · 2025: 8
FWCI
11.68
Type
conference paper
Language
en
Open access
closed
Locations
OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry (OTCON) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Health Sciences › Health Professions › Health Information Management › Innovation in Digital Healthcare Systems
Keywords
fog computing, remote patient monitoring, context-aware access control, public key infrastructure, Internet of Medical Things, edge computing, latency reduction, data security, packet delivery ratio, end-to-end delay

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CoChat. (2026). Citation check: Leveraging Context-Aware Fogging for Advanced Remote Patient Monitoring and Healthcare in Modern Life. https://app.cochat.ai/papers/10.1109/otcon65728.2025.11070467
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Poddar, H., Roy, V., Bhoyar, M., Gangrade, A., Venkata Kowshik, K. N., & Rathod, P. (2025). Leveraging Context-Aware Fogging for Advanced Remote Patient Monitoring and Healthcare in Modern Life. 2025 4th OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 5.0. https://doi.org/10.1109/otcon65728.2025.11070467