Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing

Autores
Medina, Esunly; Lopez, David; Meseguer, Roc; Ochoa, Sergio F.; Royo, Dolors; Santos, Rodrigo Martin
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Medina, Esunly. Universidad Politécnica de Catalunya; España
Fil: Lopez, David. Universidad Politécnica de Catalunya; España
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Royo, Dolors. Universidad Politécnica de Catalunya; España
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
Materia
Distributed Pervasive Data Sensing
Mobile Collaboration
Pervasive Monitoring
Software Development Framework
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/62280
Acceder
id CONICETDig_5fa94cf5ffecae306a85e9bcc8e8c151
oai_identifier_str oai:ri.conicet.gov.ar:11336/62280
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensingMedina, EsunlyLopez, DavidMeseguer, RocOchoa, Sergio F.Royo, DolorsSantos, Rodrigo MartinDistributed Pervasive Data SensingMobile CollaborationPervasive MonitoringSoftware Development Frameworkhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Pervasive 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.Fil: Medina, Esunly. Universidad Politécnica de Catalunya; EspañaFil: Lopez, David. Universidad Politécnica de Catalunya; EspañaFil: Meseguer, Roc. Universidad Politécnica de Catalunya; EspañaFil: Ochoa, Sergio F.. Universidad de Chile; ChileFil: Royo, Dolors. Universidad Politécnica de Catalunya; EspañaFil: 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"; ArgentinaMolecular Diversity Preservation International2016-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/62280Medina, 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; 1062-10891424-8220CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1424-8220/16/7/1062info:eu-repo/semantics/altIdentifier/doi/10.3390/s16071062info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:05:38Zoai:ri.conicet.gov.ar:11336/62280instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:05:38.704CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
title Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
spellingShingle Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
Medina, Esunly
Distributed Pervasive Data Sensing
Mobile Collaboration
Pervasive Monitoring
Software Development Framework
title_short Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
title_full Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
title_fullStr Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
title_full_unstemmed Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
title_sort Mobile autonomous sensing unit (MASU): A framework that supports distributed pervasive data sensing
dc.creator.none.fl_str_mv Medina, Esunly
Lopez, David
Meseguer, Roc
Ochoa, Sergio F.
Royo, Dolors
Santos, Rodrigo Martin
author Medina, Esunly
author_facet Medina, Esunly
Lopez, David
Meseguer, Roc
Ochoa, Sergio F.
Royo, Dolors
Santos, Rodrigo Martin
author_role author
author2 Lopez, David
Meseguer, Roc
Ochoa, Sergio F.
Royo, Dolors
Santos, Rodrigo Martin
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Distributed Pervasive Data Sensing
Mobile Collaboration
Pervasive Monitoring
Software Development Framework
topic Distributed Pervasive Data Sensing
Mobile Collaboration
Pervasive Monitoring
Software Development Framework
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Medina, Esunly. Universidad Politécnica de Catalunya; España
Fil: Lopez, David. Universidad Politécnica de Catalunya; España
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Royo, Dolors. Universidad Politécnica de Catalunya; España
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
description 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.
publishDate 2016
dc.date.none.fl_str_mv 2016-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/62280
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
1424-8220
CONICET Digital
CONICET
url http://hdl.handle.net/11336/62280
identifier_str_mv 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
1424-8220
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1424-8220/16/7/1062
info:eu-repo/semantics/altIdentifier/doi/10.3390/s16071062
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844613895171342336
score 13.070432

Publicaciones similares