Development of an IoTBased Indoor Air Quality Monitoring Platform In this paper, an IoTbased indoor air quality monitoring platform, consisting of an air qualitysensing device called xe2x80x9cSmartAirxe2x80x9d and a web server, is demonstrated. This platform relies on an IoT and a cloud computing technology to monitor indoor air quality in anywhere and anytime. SmartAir has been developed based on the IoT technology to efficiently monitor the air quality and transmit the data to a web server via LTE in real time. The device is composed of a microcontroller, pollutant detection sensors, and LTE modem. In the research, the device was designed to measure a concentration of aerosol, VOC, CO, CO2, and temperaturehumidity to monitor the air quality. Then, the device was successfully tested for reliability by following the prescribed procedure from the Ministry of Environment, Korea. Also, cloud computing has been integrated into a web server for analyzing the data from the device to classify and visualize indoor air quality according to the standards from the Ministry. An application was developed to help in monitoring the air quality. Thus, approved personnel can monitor the air quality at any time and from anywhere, via either the web server or the application. The web server stores all data in the cloud to provide resources for further analysis of indoor air quality. In addition, the platform has been successfully implemented in Hanyang University of Korea to demonstrate its feasibility.

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.