Multi-agent based governance model for Machine-to-Machine networks in a smart parking management system
作者： Mustapha Bilal , Camille Persson , Fano Ramparany , Gauthier Picard , Olivier Boissier
关键词:
摘要: Proposed in this paper is a multi-agent model that defines set of global functioning rules for flexible governance, adapted to parking management within city. This designed aid drivers finding place, which satisfies group criteria, predefined profiles, providing better service the public. The Multi-Agent developed integrated platform SensCity, dedicated development and deployment Machine-to-Machine (M2M) systems. city divided into number areas are equipped with sensors, responsible transferring data from places. Therefore, agents can work interpret manipulate governance principles modeled implemented by model, independently spaces. Moreover, proposes an intelligent end-to-end system using MOISE organization framework.
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