Enhancing Healthcare 4.0: A Fog Computing-Enabled, Secure, and Energy-Efficient Framework
Keywords:
Healthcare 4.0, optimization, interoperability, convergence, reliability, energy efficiencyAbstract
The realm of healthcare monitoring is broadening to include cutting-edge topics like athlete’s health, gym exercise, daily living, and disease-specific. The real-time data transmission in such applications is the difficulties posed by the growing need for healthcare monitoring. To accomplish these goals, an innovative approach is used called "Fog computing-enabled healthcare frameworks," which addresses the gaps left by cloud computing. Every framework requires essential quality of service (QoS) metrics such as interoperability, convergence, and reliability for effective communication, although energy consumption is a crucial feature in a constrained device context. These parameters are not yet attained in various developed frameworks, and the aim of this paper is to optimise these QoS parameters for sustainable communication in healthcare. With the use of the Firefly (FFLY) and Grey Wolf Optimisation (GWO) algorithms, this study provided an optimal framework to meet the emerging demands of the healthcare sector by improving interoperability, convergence, reliability, and energy consumption. Security is another issue that has been shown to be lacking in present healthcare frameworks, and the integration of ECC and RSA is being evaluated for data security during simulation. The suggested optimised healthcare system outperforms the core findings and yields notable outcomes in terms of QoS parameters and security. The optimized results for interoperability, convergence, reliability, and energy consumption, respectively, are 9.76%, 16.36%, 23.09%, and 12.62% better than the base values, which were 0.761, 0.438, 0.251, and 0.6046 for interoperability, convergence, reliability, and energy consumption. While in the simulation employing the security properties of ECC and RSA, ECC outperforms RSA in terms of encryption time, decryption time, and key size.
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