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Design of Fog Based Remote Health Monitoring System

As a result of the Covid-19 outbreak, a trustworthy health care system for remote surveillance was required, particularly in care facilitieas for the elderly. Many studies have been done in this subject, however they still have security, latency, extended time of execution and response delay. An intelligent Healthcare infrastructure termed Remote Health Monitoring (RHM) is introduced in this study to overcome these constraints. The framework uses high-level fog layer services including locally storage, native real-time data processing with combined mining of information in handling certain cloud and sensor network loads and transformed in a decision taker entity. This systems uses a body and camera sensors to diagnose, increasing accuracy and efficiency while protecting privacy. The suggested framework was tested using the iFogSim toolbox. It may minimise latency, energy usage, network connectivity and total reaction time. This work will assist develop a high performing, secure, and dependable intelligent Medical infrastructure.