Architecture to Integrate IoT Networks Using Artificial Intelligence in the Cloud

A smart home can maintain an updated and detailed record of air quality monitoring through a network of sensors and actuators. It provides a controlled environment free of toxic gases to the occupants of the house. The internet of things (IoT) smart network of this proposal is based on Artificial Intelligence algorithms and the management of large volumes of data (Big Data) through the connection between a Gateway and an IoT platform. When a user leaves their home, this is out of the range of the IoT network and therefore without information about exposure to toxic gases. To continue monitoring, the intelligent system finds for the closest air quality monitoring network within of the user usual route between home and work and learns it. The interconnection between the networks is made between the different platforms in the cloud, which handle the same group of parameters and services. The user stays connected to the main network (Smart Home) through the internet reporting their location and vital signs with an application on their smartwatch. During the route from home to work (round trip), the intelligent system is able to learn which the routes with different degrees of pollution are and selects the best route. At the end of the day, a user will know to what degree of contamination was exposed, and then can send a report to the doctor or use the data for other research purposes.