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

Abstract

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.