Despite the growing attention to IAQ monitoring, there is still a lack of studies that explore the placement of sensors indoors in conjunction with simulation surveys. To our knowledge, only three studies have experimentally investigated this topic. By combining experimental data, computational fluid dynamics (CFD) simulations, and advanced optimization algorithms, this study provided new insights to this extent. We evaluated the effect of positioning of particle and gas sensors (total VOCs) on their accuracy and reliability in different office settings. The CFD method has become one of the most used tools in optimizing the placement of IAQ sensors. By simulating different airflow conditions, CFD models can identify zones where pollutant concentrations are likely to be higher or lower, guiding the placement of sensors for more accurate measurements. This is particularly important for particle sensors, as particulate matter follows complex airflow paths, often settling in areas that are not immediately obvious . Furthermore, CFD models can simulate the impact of various factors such as ventilation rates, temperature gradients, and occupant movement on indoor pollutant distribution. This allows for more precise sensor placement, ensuring that the sensors capture a representative sample of the indoor air environment (9). Bulot et al. have investigated the performance of the sensor elements themselves, including their accuracy for different particle types. Significantly they find that certain sensors have a significant time delay, up to 90 s, built into the device .