Electronic Nose with Digital Gas Sensors Connected via Bluetooth to a Smartphone for Air Quality Measurements This paper introduces a miniaturized personal electronic nose (39 mm xc3x97 33 mm), which is managed through an app developed on a smartphone. The electronic nose (enose) incorporates four new generation digital gas sensors. These MOxtype sensors incorporate a microcontroller in the same package, being also smaller than the previous generation. This makes it easier to integrate them into the electronics and improves their performance. In this research, the application of the device is focused on the detection of atmospheric pollutants in order to complement the information provided by the reference stations. To validate the system, it has been tested with different concentrations of NOx including some tests specifically developed to study the behavior of the device in different humidity conditions. Finally, a mobile application has been developed to provide classification services. In this regard, a neural network has been developed, trained, and integrated into a smartphone to process the information retrieved from enose devices.

Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyberphysical Systems and Mobile Computing Technologies This paper presents a realtime air quality monitoring system based on Internet of Things. Air quality is particularly relevant for enhanced living environments and wellbeing. The Environmental Protection Agency and the World Health Organization have acknowledged the material impact of air quality on public health and defined standards and policies to regulate and improve air quality. However, there is a significant need for costeffective methods to monitor and control air quality which provide modularity, scalability, portability, easy installation and configuration features, and mobile computing technologies integration. The proposed method allows the measuring and mapping of air quality levels considering the spatialtemporal information. This system incorporates a cyberphysical system for data collection and mobile computing software for data consulting. Moreover, this method provides a costeffective and efficient solution for air quality supervision and can be installed in vehicles to monitor air quality while travelling. The results obtained confirm the implementation of the system and present a relevant contribution to enhanced living environments in smart cities. This supervision solution provides realtime identification of unhealthy behaviours and supports the planning of possible interventions to increase air quality.