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%.
Authors
- Bharat Gupta (ORCID: https://orcid.org/0000-0002-4705-700X)
- Chinmay Chakrabarty
- Akash Kumar Gupta (ORCID: https://orcid.org/0000-0002-1999-4258)
Institutions
- Birla Institute of Technology, Mesra (IN)
- National Institute of Technology Patna (IN)
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