A Multi-agent Organization for the Governance of Machine-to-Machine Systems

The Machine-to-Machine (M2M) paradigm involves devices (sensors, actuators) interacting together to provide services located in the real world. The Senscity project proposes an infrastructure to enable shared city scale applications-- ie. smart cities. Implementing such an infrastructure raises the...

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Bibliographic Details
Main Authors: Persson, Camille, Picard, Gauthier, Ramparany, Fano
Format: Conference Proceeding
Language:English
Subjects:
Cities and towns
Computer architecture
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Multi-agent systems
Information systems > Information systems applications
Information systems > Information systems applications > Decision support systems > Expert systems
Logic gates
Machine-to-Machine
Monitoring
Multi-Agent System
Multiagent systems
Organizational Model
Organizations
Sensors
Smart City
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Summary:The Machine-to-Machine (M2M) paradigm involves devices (sensors, actuators) interacting together to provide services located in the real world. The Senscity project proposes an infrastructure to enable shared city scale applications-- ie. smart cities. Implementing such an infrastructure raises the problem of providing an agile governance with respect to scalability. Multi-Agent technologies grant adaptability, flexibility and proactivity properties. This paper investigates how they can suit to our problem. It proposes a Multi-Agent organization for expressing the governance strategy of such systems. Using the MOISE Organization framework, it is illustrated within a smart parking management application.
DOI:10.1109/WI-IAT.2011.161