Decentralized Management of Building Indoors through Embedded Software Agents
- DEIS - University of Calabria
Via P. Bucci, cubo 41c, Rende (CS), 87036, Italy
g.fortino@unical.it,aguerrieri@deis.unical.it - Networking & Distributed Systems Research Group, TIES, SIME Lab, ENSIAS
Mohammed V-Souissi University, Rabat, Morocco
erradi@ensias.ma, meryemeayache@gmail.com
Abstract
In order to support personalized people comfort and building energy efficiency as well as safety, emergency, and context-aware information exchange scenarios, next-generation buildings will be smart. In this paper we propose an agent-oriented decentralized and embedded architecture based on wireless sensor and actuator networks (WSANs) for enabling efficient and effective management of buildings. The main objective of the proposed architecture is to fully support distributed and coordinated sensing and actuation operations. The building management architecture is implemented at the WSAN side through MAPS (Mobile Agent Platform for Sun SPOTs), an agent-based framework for programming WSN applications based on the Sun SPOT sensor platform, and at the base station side through an OSGi-based application. The proposed agent-oriented architecture is demonstrated in a simple yet effective operating scenario related to monitoring workstation usage in computer laboratories/offices. The high modularity of the proposed architecture allows for easy adaptation of higher-level application-specific agents that can therefore exploit the architecture to implement intelligent building management policies.
Key words
Smart Buildings, Multi-Agent Systems, Wireless Sensor and Actuator Networks, Building Management Systems
Digital Object Identifier (DOI)
https://doi.org/10.2298/CSIS120101030F
Publication information
Volume 9, Issue 3 (September 2012)
Special Issue on Advances in Computer Languages, Modeling and Agents
Year of Publication: 2012
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium
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How to cite
Fortino, G., Guerrieri, A.: Decentralized Management of Building Indoors through Embedded Software Agents. Computer Science and Information Systems, Vol. 9, No. 3, 1331-1359. (2012), https://doi.org/10.2298/CSIS120101030F