Air quality data collection and processing platform

Abstract

The degree of pollution in the atmosphere is increasing, leading to more and more people being affected by breathing health issues. However, people are increasingly aware of the need to monitor their environment. We propose a platform that leverages a Wearable Sensor Device and Mobile Devices to collect large amounts of air quality data on a central Real-Time Data Processing System that can process all this information, aggregate it and disseminate it back to the users in relevant way. We design and develop Wearable Sensor Devices that are capable of measuring CO2, NO and particulate matter. We design and develop a Mobile Application that pulls data from the sensor device in an energy friendly way, described by our Adaptive Query Algorithm, and pushes it in the central processing system. We present a real-time processing platform for Wireless Sensor Networks that satisfies the characteristics of scalability, fault tolerance and real-time processing needed to serve as our central processing system.