Error rate reduction of Air Quality Parameters in Health Care Industry using SD-IoT Environment

The air quality index has a major impact on the health of a person. This parameter must be carefully monitored to take all the necessary arrangements to improve the environmental conditions. The error rate must be minimized for accurate data collection and processing. In this paper, an IoT -based air quality platform is designed with the name ‘'IAQM (Industry Air Quality Monitoring)”. This platform relies on IoT, SDN, and Cloud computing technology to monitor the air quality of the health care industry. Apart from the health care sector, this system can be used anywhere and anytime. We measure its performance metrics with existing AQMS. IAQM gives better performance than the existing approach as per the resultant graphs.