Smart IoT Monitoring Framework Based on OneM2M for Air Quality

Abstract

Generally, Pollution estimations are performed utilizing costly hardware at settled areas or committed portable hardware research centers. This is a coarse-grained and costly approach to estimate pollution. In this paper, we present a portable approach for estimating fine-grained air quality continuously. We propose practical information acquisition model for indoor and outdoor air quality monitoring which can be carried anywhere as a portable device. It consists of gas detection circuitry for CO, CO2, PM2.5, PM10 and humidity sensor. Array of gas sensors are connected to microcontroller after signal conditioning circuit. This data is sent to a cloud service platform which provides facility of accessing the data in the form of real-time graph. An android app has been developed for the easy access of the air quality data on mobile phones. Data can be collected from many such Active Queue Management (AQM) blocks. We present fundamental models and examine its execution challenges.