Abstract
This paper presents a system architecture that provides smart building monitoring and management. The proposed solution integrates heterogeneous geographically disparate sensor networks and devices, and enables optimal operations of the building while reducing its energy footprint. The platform is based on Semantic Web Services composition using AI Planning, that integrates and manages WiFi, RFiD and ZigBee networks providing connectivity to the devices. The goal is to develop a model that follows the latest guidelines in the area of Information Communication Technologies (ICT) for sustainable growth, energy efficiency and better quality of life.
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Stavropoulos, T.G., Tsioliaridou, A., Koutitas, G., Vrakas, D., Vlahavas, I. (2010). System Architecture for a Smart University Building. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15825-4_64
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DOI: https://doi.org/10.1007/978-3-642-15825-4_64
Publisher Name: Springer, Berlin, Heidelberg
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