Design and Validation of an Embedded Baseline Compensation Model with Wireless Sensor Network for Monitoring Total Volatile Organic Compounds

score in concentration prediction for a specific VOC data set. The model is then deployed onto the microcontroller of each sensor node in the system, which autonomously corrects intraexperimental baseline drift for an individual sensor and harmonizes the initial baselines across multiple sensors. After normalization, the maximum initial baseline variation among sensor nodes is reduced by four times. The system is deployed in a dormitory via a ZigBee mesh, providing intuitive air quality readings for different indoor environments. This work lays the groundwork for a broad implementation of compact, efficient sensor networks that enable precise, real-time indoor air quality assessment.