Heterogeneous sensor data integration for crowdsensing applications
Sebastián Villarroya, David Martínez Casas, Moisés Vilar, José R. R. Viqueira, José A. Taboada, José M. Cotos · 2014
This paper describes a conceptual solution for heterogeneous sensor data integration in crowdsensing applications and one experimental implementation for a health monitoring system in an educational environment using a low cost hardware solution. Three kinds of protocols are integrated in this solution: HL7 for medical data, Observations and Measurements model for environmental data and BACnet for buildings monitoring. This last protocol has the particularity that manages sensoring and acting. A Common Data Model is described for the integration of three kinds of data and protocols, and a validation test application is described.