Enhancing Healthcare Services with Fuzzy Algorithms and Fog Computing

In the field of secure medical data processing significant research is going on. In this paper, a Fuzzy algorithm-based Fog centric approach for diverse Medical Data Processing has been proposed. This innovative approach yields enhances the transmission of vital multimedia healthcare data in real-time. The aim is to enhance healthcare services by enhancing QoS across diverse networks by Fog computing and Fuzzy rule based medical data processing. These algorithms encompassing fuzzification, processing using triangular membership function, fuzzy rules mapping, Defuzzification, optimal gateway selection, and the enhancement of transmission quality via factors like throughput, end-to-end delay, and jitter. Here, a proposed algorithm has gone through rigorous simulation executed on MATLAB R2018b. A comprehensive evaluation reveals a remarkable enhancement in Quality of Service (QoS), reaching an impressive 83.6%.

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Publication Details

Published
2025-02-27
DOI
https://doi.org/10.1109/isacc65211.2025.10969209
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49
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article

Enhancing Healthcare Services with Fuzzy Algorithms and Fog Computing

Bharat Gupta, Chinmay Chakrabarty, Akash Kumar Gupta
1 citations
IoT and Edge/Fog Computing
1.49
article

Enhancing Healthcare Services with Fuzzy Algorithms and Fog Computing

Bharat Gupta, Chinmay Chakrabarty, Akash Kumar Gupta
article en
1 citations

Abstract

In the field of secure medical data processing significant research is going on. In this paper, a Fuzzy algorithm-based Fog centric approach for diverse Medical Data Processing has been proposed. This innovative approach yields enhances the transmission of vital multimedia healthcare data in real-time. The aim is to enhance healthcare services by enhancing QoS across diverse networks by Fog computing and Fuzzy rule based medical data processing. These algorithms encompassing fuzzification, processing using triangular membership function, fuzzy rules mapping, Defuzzification, optimal gateway selection, and the enhancement of transmission quality via factors like throughput, end-to-end delay, and jitter. Here, a proposed algorithm has gone through rigorous simulation executed on MATLAB R2018b. A comprehensive evaluation reveals a remarkable enhancement in Quality of Service (QoS), reaching an impressive 83.6%.

Birla Institute of Technology, Mesra (IN), National Institute of Technology Patna (IN)
Openalex Percentile: Top 18%
IoT and Edge/Fog Computing
1.49
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Enhancing Healthcare Services with Fuzzy Algorithms and Fog Computing — Bharat Gupta, Chinmay Chakrabarty, et al. · (2025) | TGRS Research Map | TGRS