Real Time Wireless Sensor Network (WSN) based Indoor Air Quality Monitoring System

This paper presents the development and implementation of a number of wirelessly connected sensor units to monitor indoor air quality parameters for real time visualisation and recording of the measured data. This is achieved by utilising infrared based sensor technology that measures carbon dioxide (CO2), temperature and humidity, low power wireless networking and Geo-statistic methods for spatial prediction. The platform consists an MBED LPC 1768 development board that retrieves data from the sensor unit and transmits it wirelessly using a ZigBee module to a central base station where it is analysed and stored. Spatial prediction is also performed in real time on live data. Initial measurements are performed in an office environment.