CLOUD-INTEGRATED WEARABLE SENSOR NETWORK SYSTEM FOR REAL-TIME DATA ANALYSIS

Abstract

An IoT-enabled system of ubiquitous sensors for health and safety monitoring is detailed in this research. Protecting workers' well-being is of the utmost importance in industrial settings. That is why it is possible to greatly enhance workplace safety standards by setting up an IoT network architecture to track physiological and environmental variables. In order to track physiological and environmental variables, the suggested network system incorporates a number of wearable sensors. A number of people are linking their wearable sensors via Bluetooth in order to create an Internet of Things platform that includes various gadgets. A LoRa network facilitates communication and data exchange among these sensors. When a potentially dangerous situation is detected, the sensor node will quickly alert and provide advice to the users. In order to facilitate data processing, cloud connectivity, and local web server capabilities, an intelligent IoT gateway is set up. The data collected by the wearable sensors will be transmitted to an IoT cloud by the gateway, where it will be analyzed, stored, and displayed.