Multi-Agent Trust Decision Process for the Internet of Things – MaestrIoT
The deployment of Internet of Things systems in open and dynamic environments raises several issues related to the reliability of the its components. It is unrealistic to consider that every hardware or software component is reliable, trustworthy and efficient whatever the conditons, especially climatic. The MaestrIoT project will address these issues by proposing an algorithmic framework for ensuring trust in a multi-agent system handling sensors and actuators of a cyber-physical environment. Trust management has to be ensured from the perception to decision making and integrating the exchange of information between IoT devices. These theoretical contributions will be applied in two privileged domains, Industry 4.0 and Connected Cooperative Automated Mobility, with demonstrators both in full simulation and hybridizing simulation and real platforms.
Project coordination
Laurent Vercouter (LABORATOIRE D'INFORMATIQUE, DE TRAITEMENT DE L'INFORMATION ET DES SYSTÈMES - EA 4108)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partnership
LIMOS Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
LCIS Laboratoire de Conception et d'Intégration des Systèmes
CITI CENTRE D'INNOVATION EN TELECOMMUNICATIONS ET INTEGRATION DE SERVICES
LITIS LABORATOIRE D'INFORMATIQUE, DE TRAITEMENT DE L'INFORMATION ET DES SYSTÈMES - EA 4108
Help of the ANR 525,264 euros
Beginning and duration of the scientific project:
December 2021
- 48 Months
