Model-Based Approach for Efficient Data Exploitation Process in IoT Systems

Nowadays, sensor networks are used in various fields and for multiple purposes in medicine, agriculture or industry. In a network, different kinds of sensors are often involved. This heterogeneity makes it complex and time-consuming to implement the exploitation of the data acquired by these sensor networks. We notice a growing need for scalable and rapidly deployable infrastructures to allow for interoperability for the processing, the storage or visualization of collected data. Faced with these challenges, we define a framework to facilitate the automatic deployment of data exploitation applications in heterogeneous sensor networks. We propose a Model-Driven Engineering-based approach that provides a high-level model to describe such infrastructures. Along with automatic code generation, our model aims to facilitate the exploitation of collected data through a graphical interface. The model we define allows for the description of heterogeneous sensor networks with a data exploitation point of view.