Social behaviorism model for interactions management in Industrial IoT
Rim Kilani, Ahmed Zouinkhi, Eddy Bajic, Mohamed Naceur Abdelkrim · 2020
The remarkable increase in the number of communicating objects and the interaction between heterogeneous objects in an Internet of Things (IoT) context make the exchange of services with conventional methods of centralized control based on demand / response insufficient. The inadequacy of conventional methods favors the emergence of a new paradigm called Social Internet of Things (SIoT). The latter consists in providing autonomous communicating objects with interaction capacities inspired by human social relationships. In this paper, we propose an approach inspired by social paradigms, which makes it possible to manage the interaction and exchange of services between industrial objects. Our approach is composed of the principles of interactions resulting from the research work of the sociological and scientific communities. Our approach is transposed to industrial communicating objects to transform the industrial object into social industrial objects. Interaction scenarios in cases of industrial applications are presented. A NetLogo simulation implements the methodology described in this work.