A socio-inspired methodology and model for advanced and opportunistic interactions between Industrial IoT objects - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Electronics Année : 2022

A socio-inspired methodology and model for advanced and opportunistic interactions between Industrial IoT objects

Résumé

The concept of the Internet of Things (IoT) is widely discussed. IoT is one of the emerging technologies that have caught the attention of many researchers. The increase in the number of exchanges of services between heterogeneous or homogeneous connected objects with the integration of social networking concepts gives rise to the concept of the Social Internet of Things (SIoT). The SIoT concept contributes to the evolution of interactions between industrial objects by improving deterministic mechanisms towards intelligent interactions. The integration of the SIoT concept into the Industrial Internet of Things (IIoT) gives rise to the Social Internet of Industrial Things (SIoIT) and plays an important role in improving system performance in Industry 4.0. In this article, we propose an innovative methodology and a model of socio-inspired interaction between industrial communicating objects inspired by sociological approaches. Thanks to this model, socialized industrial communicating objects form a community of objects, autonomously and dynamically, by exchanging messages to know each other perfectly, and service requests between objects are executed adaptively according to the principles of social interaction governed by socio-inspired strategies and conditions. The model is implemented, tested and validated in a Netlogo multi-agent system simulation environment.
Fichier principal
Vignette du fichier
electronics-11-01281.pdf (7.6 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03652552 , version 1 (25-10-2023)

Licence

Paternité

Identifiants

Citer

Rim Kilani, Ahmed Zouinkhi, Eddy Bajic, Mohamed Naceur Abdelkrim. A socio-inspired methodology and model for advanced and opportunistic interactions between Industrial IoT objects. Electronics, 2022, 11 (8), pp.1281. ⟨10.3390/electronics11081281⟩. ⟨hal-03652552⟩
25 Consultations
4 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More