Development of an IoT Environmental Monitoring Application with a Novel Middleware for Resource Constrained Devices

In this paper the development of a Mobile Health monitoring system is described. The system combines user location data with air quality information provided by a heterogeneous sensing infrastructure providing users with advises about their daily exposure to air pollutants. The highly dynamic integration of different kind of nodes, mostly characterized by rather constrained resources, of this application is crucial to implement the Internet of Things vision, and requires powerful and effective programming methodologies to abstract implementation of high-level distributed processing from hardware dependencies. We then describe our programming methodology and our novel middleware supporting distributed applications on constrained devices. Our development approach is based on distributed symbolic processing through executable code exchange among nodes, and permits to extend the capabilities of nodes even after their deployment.