The adoption of the Internet of Things paradigm in Ambient Assisted Living platforms requires the investigation and analysis of issues related to data collection and processing. In fact, the peculiarities of Ambient Assisted Living services and applications pose specific requirements on the way data originated from sensors should be processed (locally or remotely), delivered (as raw data, or in aggregated fashion), and, of course, how they should be shared or protected. This paper analyses the issues related to data management starting from a review of the state of the art, in order to draw general trends or widespread approaches, that are then discussed and evaluated with respect to a practical implementation presented as a case study.
Data Management in Ambient Assisted Living Platforms Approaching IoT: A Case Study / Spinsante, Susanna; Gambi, Ennio; Montanini, Laura; Raffaeli, Laura. - ELETTRONICO. - (2016), pp. 1-7. (Intervento presentato al convegno 1st International Workshop on Internet of Things for Ambient Assisted Living (IoTAAL) tenutosi a San Diego (USA) nel 6-10/12/2015) [10.1109/GLOCOMW.2015.7414079].
Data Management in Ambient Assisted Living Platforms Approaching IoT: A Case Study
SPINSANTE, Susanna;GAMBI, Ennio;MONTANINI, LAURA;RAFFAELI, Laura
2016-01-01
Abstract
The adoption of the Internet of Things paradigm in Ambient Assisted Living platforms requires the investigation and analysis of issues related to data collection and processing. In fact, the peculiarities of Ambient Assisted Living services and applications pose specific requirements on the way data originated from sensors should be processed (locally or remotely), delivered (as raw data, or in aggregated fashion), and, of course, how they should be shared or protected. This paper analyses the issues related to data management starting from a review of the state of the art, in order to draw general trends or widespread approaches, that are then discussed and evaluated with respect to a practical implementation presented as a case study.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.