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An Integrated Framework for Enabling End-User Configuration of AmI Simulations for Open Wide Locations

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Book cover Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information (UCAmI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9454))

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Abstract

The deployment of AmI technologies in large facilities sets new challenges due to the difficulty to perform experiments in physical large settings, with high number of users. We propose a framework for such domain using simulations that combine social simulation techniques, specialized in assessing large population behaviors, along with experience in AmI systems simulations, specialized in considering sensor and actuator networks embedded in a physical environment. The framework will allow the configuration of simulation features and options according to user and device models defined by domain experts, as well as the interaction between the proposed simulator and a context generated by external sources (other simulators or AmI infrastructures). This paper also proposes the first steps towards an implementation of this architecture through contributions on known simulators.

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Acknowledgements

This research work is supported by the Spanish Ministry of Economy and Competitiveness under the R&D projects CALISTA (TEC2012-32457), iHAS (grant TIN2012-36586C03-02), and ColosAAL (grant TIN2011-28335-C02-01); by the Spanish Ministry of Industry, Energy and Tourism under the R&D project BigMarket (TSI-100102-2013-80); and, by the Autonomous Region of Madrid through the program MOSI-AGIL-CM (grant S2013/ICE-3019), co-funded by EU Structural Funds FSE and FEDER.

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Correspondence to Ramón Alcarria .

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Alcarria, R., Serrano, E., Sanz, J.G., Fernández, A. (2015). An Integrated Framework for Enabling End-User Configuration of AmI Simulations for Open Wide Locations. In: García-Chamizo, J., Fortino, G., Ochoa, S. (eds) Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information. UCAmI 2015. Lecture Notes in Computer Science(), vol 9454. Springer, Cham. https://doi.org/10.1007/978-3-319-26401-1_39

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  • DOI: https://doi.org/10.1007/978-3-319-26401-1_39

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