Integration of WSN, IoT and Cloud Computing in Distributed Monitoring System for Aging Persons in Active Life

The paper presents a multi-level architecture for AAL applications, separating sensor, fog computing and cloud processing levels and assigning a specific role for each of them. This increases efficiency in data acquisition, integration, response time and long-term analysis. The system was designed scalable, being capable to integrate data from different IoT and WSN networks and provide support for distributed application implementation. The paper details the functionality of each level and tools used in the implementation of a body sensor network and indoor environmental monitoring of a single patient. Indoor comfort and temperature variation are used as examples for the user application stored at the fog computing level. An ARIMA model is used at the cloud level for temperature data prediction.