A Model-Driven Approach to Unravel the Interoperability Problem of the Internet of Things

Imad Berrouyne (1, 2, 3, 4, 5) , Mehdi Adda (3) , Jean-Marie Mottu (1, 2, 4) , Jean-Claude Royer (1, 2) , Massimo Tisi (1, 2)

1 IMT Atlantique - DAPI - Département Automatique, Productique et Informatique
2 LS2N - équipe NaoMod - NaoMod - Nantes Software Modeling Group
3 UQAR - Université du Québec à Rimouski
4 IUT Nantes - Institut Universitaire de Technologie - Nantes
5 UQAC - Université du Québec à Chicoutimi

The Internet of Things (IoT) aims for connecting Anything, Anywhere, Anytime (AAA). This premise brings about heterogeneity that creates connectiv-ity challenges. These challenges constitutes a serious obstacle to interoperability between things. Most existing approaches tackles the interoperability problem by avoiding heterogeneity with standards at runtime. While heterogeneity is an intrinsic feature of the IoT, there is a need for an approach that embraces it to connect AAA. In this paper we propose a model-based methodology to tackle the interoper-ability problem. It relies on a Domain-Specific Language (DSL) for a model-based specification of the network and a transformation process to generate the network artifacts from this specification. The principle consists of achieving interoperability at the model-level, then during a transformation process, ensuring that it is preserved in the low-level code. Adopting this methodology makes the engineering of the IoT more rigorous, prevents bugs earlier and saves time.

Domaines: Réseaux et télécommunications [cs.NI]; Modélisation et simulation; Génie logiciel [cs.SE]

Imad Berrouyne, Mehdi Adda, Jean-Marie Mottu, Jean-Claude Royer, Massimo Tisi. A Model-Driven Approach to Unravel the Interoperability Problem of the Internet of Things. Advanced Information Networking and Applications, Apr 2020, Nantes, France. pp.1162-1175, ⟨10.1007/978-3-030-44041-1_100⟩. ⟨hal-02943297⟩