Artículo
Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
Fecha de publicación:
07/2016
Editorial:
Molecular Diversity Preservation International
Revista:
Sensors
ISSN:
1424-8220
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Pervasive data sensing is a major issue that transverses various research areas and application domains. It allows identifying people’s behaviour and patterns without overwhelming the monitored persons. Although there are many pervasive data sensing applications, they are typically focused on addressing specific problems in a single application domain, making them difficult to generalize or reuse. On the other hand, the platforms for supporting pervasive data sensing impose restrictions to the devices and operational environments that make them unsuitable for monitoring loosely-coupled or fully distributed work. In order to help address this challenge this paper present a framework that supports distributed pervasive data sensing in a generic way. Developers can use this framework to facilitate the implementations of their applications, thus reducing complexity and effort in such an activity. The framework was evaluated using simulations and also through an empirical test, and the obtained results indicate that it is useful to support such a sensing activity in loosely-coupled or fully distributed work scenarios.
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Articulos(IIIE)
Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"
Articulos de INST.DE INVEST.EN ING.ELECTRICA "A.DESAGES"
Citación
Medina, Esunly; Lopez, David; Meseguer, Roc; Ochoa, Sergio F.; Royo, Dolors; et al.; Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing; Molecular Diversity Preservation International; Sensors; 16; 7; 7-2016; 1062-1089
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