Low-Power Wireless Sensor Network for Real-Time Indoor Air Quality Monitoring with CO2 Sensors

Proper indoor air quality (IAQ) not only prevents health issues but also enhances cognitive function and overall satisfaction. In this work, we propose a wireless sensor network for CO2 measurement in large buildings, such as schools. We have developed ultra-low-power and cost-effective sensor nodes that consume an average current of 130 μA when gathering measurements at a 30-second rate, and effectively transmitting them to a server for analysis and visualization. We present field measurement results from the WSN operating in a school for over six months. Finally, we compare our system with similar state-of-the-art systems and demonstrate outstanding performance in terms of power consumption.