IoT framework for fluctuation enhanced sensing

Today, Internet of Things (IoT) is an important and very popular technical and research area, as IoT systems provide opportunity to continuously monitor our environment in a cost-effective way. One really important parameter is the quality of the air since it significantly influences comfort and health. Fluctuation Enhanced Sensing (FES) is a promising method to increase the selectivity and sensitivity of the sensors, however, most of the current implementations are not optimized for energy efficient embedded systems. In our current publication we will present a complete wireless sensor node system based on Wi-Fi communication. We describe in detail how can the data processing be shared between the sensor nodes and the server in order to provide a highly reliable and responsive system while minimizing energy consumption. We believe that the framework we built is a significant step that makes it possible for fluctuation based sensing methods to be used in everyday life. Beyond gas sensing, our method can be used in further noise diagnostic based applications and seamlessly fits into the concept of IoT.