6533b839fe1ef96bd12a5aee

RESEARCH PRODUCT

Adaptable data models for scalable Ambient Intelligence scenarios

Giuseppe Lo ReMarco OrtolaniFabrizio MilazzoAlessandra De Paola

subject

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAmbient Intelligence Hybrid SimulationWireless Sensor Networks Environmental Data ModelingAmbient intelligenceComputer scienceScalabilityReal-time computingHumidityWireless sensor networkData modeling

description

In most real-life scenarios for Ambient Intelligence, the need arises for scalable simulations that provide reliable sensory data to be used in the preliminary design and test phases. This works present an approach to modeling data generated by a hybrid simulator for wireless sensor networks, where virtual nodes coexist with real ones. We apply our method to real data available from a public repository and show that we can compute reliable models for the quantities measured at a given reference site, and that such models are portable to different environments, so as to obtain a complete, scalable and reliable testing environment.

yearjournalcountryeditionlanguage
2011-01-01The International Conference on Information Networking 2011 (ICOIN2011)
https://doi.org/10.1109/icoin.2011.5723138