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dc.contributor.author
Medina, Esunly
dc.contributor.author
Lopez, David
dc.contributor.author
Meseguer, Roc
dc.contributor.author
Ochoa, Sergio F.
dc.contributor.author
Royo, Dolors
dc.contributor.author
Santos, Rodrigo Martin
dc.date.available
2018-10-12T13:26:09Z
dc.date.issued
2016-07
dc.identifier.citation
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
dc.identifier.issn
1424-8220
dc.identifier.uri
http://hdl.handle.net/11336/62280
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Molecular Diversity Preservation International
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Distributed Pervasive Data Sensing
dc.subject
Mobile Collaboration
dc.subject
Pervasive Monitoring
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Software Development Framework
dc.subject.classification
Ciencias de la Computación
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-10-09T19:01:12Z
dc.journal.volume
16
dc.journal.number
7
dc.journal.pagination
1062-1089
dc.journal.pais
Suiza
dc.journal.ciudad
Basel
dc.description.fil
Fil: Medina, Esunly. Universidad Politécnica de Catalunya; España
dc.description.fil
Fil: Lopez, David. Universidad Politécnica de Catalunya; España
dc.description.fil
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
dc.description.fil
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
dc.description.fil
Fil: Royo, Dolors. Universidad Politécnica de Catalunya; España
dc.description.fil
Fil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages". Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Instituto de Investigaciones en Ingeniería Eléctrica "Alfredo Desages"; Argentina
dc.journal.title
Sensors
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1424-8220/16/7/1062
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.3390/s16071062
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