A distributed IoT system for modelling dynamics in smart environments

This paper studies the possibilities of fusing the concepts of smart environments and continuous and discrete systems simulation into a single system where identification of parameters, dynamics modelling and the choice of adequate control actions can be performed in real-time. The goal is to develop a model of a distributed IoT system capable of intelligent and dynamic adjusting of structure and system parameters with respect to the set goals. This goal is achieved in two phases. In the first phase, the modelling of the nodes in the smart environment is performed through defining interconnected IoT devices that can gather data via sensors, perform control actions via actuators, and perform basic computing operations. In the second phase, hierarchical modelling of smart environments is performed by developing complex mathematical models that use collected data to calculate performance indicators, perform simulations, initiate control actions and support decision making. Both phases are supported by specific software components, some running in the cloud and some distributed on the edge devices. The developed approach is applied for modelling the system for traffic noise monitoring in a smart city.