Implementation and health monitoring system of vehicle by Fog computing

The field of health informatics makes extensive use of WSNs (wireless sensor networks). There has been a rise in the use of wireless and wearable sensors to monitor the vitals of individuals at risk for chronic illnesses, which not only protects patients against abrupt assaults but also ensures that they stick to their treatment regimens. There are a plethora of sensors that provide massive amounts of data. In this study, we suggest using fog computing to improve the monitoring of patients with chronic conditions, which would allow for more effective data collection and processing. The primary difficulty would be filtering out irrelevant information that is not directly related to the patient's health. A fog computing layer is needed in addition to the traditional sensor-to-cloud architecture to solve this problem. It improves the system's overall efficiency by removing the risk associated with a data center failure and decreasing the data sent between the cloud and the sensors. Additionally, we examine the safety and implementation concerns related to this fog computing layer.