Stationary Sensing Network

This project focuses on the development and deployment of a low-cost stationary sensing network to improve the spatial resolution of indoor air quality (IAQ) data in built environments. Multiple sensor nodes equipped with temperature, humidity, CO₂, and VOC sensors are strategically distributed across the space to capture real-time, location-based variations in air quality. Using spatial interpolation techniques like Ordinary Kriging, the system generates continuous spatial maps of environmental conditions, enabling better detection of pollution hotspots and supporting data-driven building design decisions.