System architecture for a smart university building

  • Authors:
  • Thanos G. Stavropoulos;Ageliki Tsioliaridou;George Koutitas;Dimitris Vrakas;Ioannis Vlahavas

  • Affiliations:
  • School of Science and Technology, International Hellenic University, Thessaloniki, Greece and Department of Informatics, Aristotle University of Thessaloniki, Greece;School of Science and Technology, International Hellenic University, Thessaloniki, Greece;School of Science and Technology, International Hellenic University, Thessaloniki, Greece;School of Science and Technology, International Hellenic University, Thessaloniki, Greece and Department of Informatics, Aristotle University of Thessaloniki, Greece;School of Science and Technology, International Hellenic University, Thessaloniki, Greece and Department of Informatics, Aristotle University of Thessaloniki, Greece

  • Venue:
  • ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
  • Year:
  • 2010

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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.