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Multi-agent based governance model for machine-to-machine networks in a smart parking management system

Mustapha Bilal Camille Persson 1 Fano Ramparany Gauthier Picard 2, 3 Olivier Boissier 2, 3
1 Orange Labs Network and Carrier
ISCOD-ENSMSE - Equipe : Informatique pour les Systèmes Coopératifs, Ouverts Décentralisés, ISCOD-ENSMSE - Département Informatique pour les Systèmes Coopératifs Ouverts et Décentralisés
Abstract : Proposed in this paper is a multi-agent model that defines a set of global functioning rules for a flexible governance, adapted to parking management within a city. This is designed to aid drivers in finding a parking place, which satisfies a group of criteria, predefined in profiles, providing a better parking service to the public. The Multi-Agent model developed is integrated in the platform SensCity, which is dedicated to the development and deployment of Machine-to-Machine (M2M) systems. The city is divided into a number of parking areas that are equipped with sensors and actuators, which are responsible for transferring data from and to the parking places. Therefore, the agents can work to interpret and manipulate the governance principles modeled and implemented by the multi-agent model, independently from drivers and parking spaces. Moreover, this paper proposes an intelligent endto- end management of parking system using the MOISE organization framework.
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Submitted on : Wednesday, August 22, 2012 - 3:42:20 PM
Last modification on : Wednesday, June 24, 2020 - 4:19:29 PM



Mustapha Bilal, Camille Persson, Fano Ramparany, Gauthier Picard, Olivier Boissier. Multi-agent based governance model for machine-to-machine networks in a smart parking management system. 3rd IEEE International Workshop on SmArt COmmunications in NEtwork Technologies ('ICC'12 WS - SaCoNet-III'), Jun 2012, Ottawa, Canada. pp. 6468-6472, ⟨10.1109/ICC.2012.6364789⟩. ⟨emse-00724774⟩



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