A PEER-TO-PEER AIR QUALITY MONITORING SYSTEM USING IOT SENSORS AND CLOUD PLATFORMS

Abstract

This paper presents the design and implementation of an air quality monitoring system that combines Internet of Things (IoT) sensors, cloud computing platforms, and peer-to-peer (P2P) networking. The system uses IoT sensors to collect real-time air quality data from multiple geographic areas. This data is sent to cloud platforms, including AWS IoT Core, for processing and storage. A P2P network of servers, with each server responsible for a specific area, enables distributed access to the air quality data. The system also incorporates machine learning models deployed on the Google Cloud Platform to provide air quality predictions. The proposed architecture for wide-area air quality monitoring is feasible and scalable based on experimental results.