neOCampus: A Demonstrator of Connected, Innovative, Intelligent and Sustainable Campus
The progress in communication technologies and data storage capacity has brought tremendous changes in our daily life and also in the city where we live. The city becomes smart and has to integrate innovative applications, and technology to improve the quality of life of its citizens. To experiment and estimate these innovations, we show that a university campus is a ground “in vivo” experiments adequate. The infrastructure deployed in the Toulouse III Paul Sabatier University campus, enabling its transformation in a smart and sustainable campus, is detailed. The approach to answer the main challenges a smart campus has to deal with, is described. Some challenges are illustrated with a case study on the balance between the energy efficiency and the comfort in a class.
KeywordsIoT Ambient systems “In vivo” testing grounds Self-adaptive Self-organizing systems
neOCampus is funded by Paul Sabatier Toulouse III University and by the INS2I CNRS organism.
- 1.Nam, T., Pardo, T.A.: Conceptualizing smart city with dimensions of technology, people, and institutions. In: Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times, pp. 282–291. ACM (2011)Google Scholar
- 4.ITU-T Focus Group on Smart Sustainable Cities, An overview of smart sustainable cities and the role of information and communication technologies, Focus Group Technical report 10/2014Google Scholar
- 6.Boes, J., Nigon, J., Verstaevel, N., Gleizes, M.-P., Migeon, F.: The self-adaptive context learning pattern: overview and proposal (regular paper). Dans: International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2015), Larnaca, Cyprus, 02/11/15–06/11/15. LNAI, vol. 9405, pp. 91–104. Springer 2015Google Scholar
- 10.Gleizes, M.-P.: Self-adaptive complex systems. In: Cossentino, M., Kaisers, M., Tuyls, K., Weiss, G. (eds.) European Workshop on Multi-Agent Systems (EUMAS 2011), Maastricht, The Netherlands, 13/11/2011–16/11/2011, vol. 7541, pp. 114–128. Springer 2012Google Scholar
- 11.Georgé, J.-P., Gleizes, M.-P., Camps, V.: Cooperation. In: Di Marzo Serugendo, G., Gleizes, M.-P., Karageogos, A., (eds.) Self-organising Software, Natural Computing Series, pp. 7–32. Springer, Heidelberg (2011)Google Scholar
- 12.Nigon, J., Glize, E., Dupas, D., Crasnier, F., Boes, J.: Use cases of pervasive artificial intelligence for smart cities challenges, In: IEEE Workshop on Smart and Sustainable City, Toulouse, July 2016Google Scholar