FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms
Descripción del Articulo
Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-base...
Autores: | , , , , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2018 |
Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
Repositorio: | CONCYTEC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/622 |
Enlace del recurso: | https://hdl.handle.net/20.500.12390/622 https://doi.org/10.1155/2018/3406858 |
Nivel de acceso: | acceso abierto |
Materia: | Power management Energy utilization Fog Green computing Information management Information services Internet of things https://purl.org/pe-repo/ocde/ford#2.07.04 |
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oai:repositorio.concytec.gob.pe:20.500.12390/622 |
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CONC |
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CONCYTEC-Institucional |
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4689 |
dc.title.none.fl_str_mv |
FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms |
title |
FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms |
spellingShingle |
FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms Castillo-Cara M. Power management Energy utilization Fog Green computing Information management Information services Internet of things https://purl.org/pe-repo/ocde/ford#2.07.04 |
title_short |
FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms |
title_full |
FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms |
title_fullStr |
FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms |
title_full_unstemmed |
FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms |
title_sort |
FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms |
author |
Castillo-Cara M. |
author_facet |
Castillo-Cara M. Huaranga-Junco E. Quispe-Montesinos M. Orozco-Barbosa L. Antúnez E.A. |
author_role |
author |
author2 |
Huaranga-Junco E. Quispe-Montesinos M. Orozco-Barbosa L. Antúnez E.A. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Castillo-Cara M. Huaranga-Junco E. Quispe-Montesinos M. Orozco-Barbosa L. Antúnez E.A. |
dc.subject.none.fl_str_mv |
Power management |
topic |
Power management Energy utilization Fog Green computing Information management Information services Internet of things https://purl.org/pe-repo/ocde/ford#2.07.04 |
dc.subject.es_PE.fl_str_mv |
Energy utilization Fog Green computing Information management Information services Internet of things |
dc.subject.ocde.none.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#2.07.04 |
description |
Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized by their geographical sparsity and increasing demands giving rise to the need of moving from a cloud to a fog model: a novel deployment paradigm characterized by the provisioning of elastic resources geographically located as close as possible to the end user. Despite the large number of wireless sensor networks already available in the market, there are still many issues to be addressed on the design and deployment of robust network platforms capable of meeting the demand and quality of fog-based systems. In this paper, we undertake the design and development of a wireless sensor node for fog computing platforms addressing two of the main issues towards the development and deployment of robust communication services, namely, energy consumption and network resilience provisioning. Our design is guided by examining the relevant macroarchitecture features and operational constraints to be faced by the network platform. We based our solution on the integration of network hardware platforms already available on the market supplemented by smart power management and network resilience mechanisms. |
publishDate |
2018 |
dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.issued.fl_str_mv |
2018 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/622 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1155/2018/3406858 |
dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85057484491 |
url |
https://hdl.handle.net/20.500.12390/622 https://doi.org/10.1155/2018/3406858 |
identifier_str_mv |
2-s2.0-85057484491 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Journal of Sensors |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.publisher.none.fl_str_mv |
Hindawi Limited |
publisher.none.fl_str_mv |
Hindawi Limited |
dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
instacron_str |
CONCYTEC |
institution |
CONCYTEC |
reponame_str |
CONCYTEC-Institucional |
collection |
CONCYTEC-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
_version_ |
1839175399267893248 |
spelling |
Publicationrp01248600rp01250600rp01252600rp01251600rp01249600Castillo-Cara M.Huaranga-Junco E.Quispe-Montesinos M.Orozco-Barbosa L.Antúnez E.A.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2018https://hdl.handle.net/20.500.12390/622https://doi.org/10.1155/2018/34068582-s2.0-85057484491Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized by their geographical sparsity and increasing demands giving rise to the need of moving from a cloud to a fog model: a novel deployment paradigm characterized by the provisioning of elastic resources geographically located as close as possible to the end user. Despite the large number of wireless sensor networks already available in the market, there are still many issues to be addressed on the design and deployment of robust network platforms capable of meeting the demand and quality of fog-based systems. In this paper, we undertake the design and development of a wireless sensor node for fog computing platforms addressing two of the main issues towards the development and deployment of robust communication services, namely, energy consumption and network resilience provisioning. Our design is guided by examining the relevant macroarchitecture features and operational constraints to be faced by the network platform. We based our solution on the integration of network hardware platforms already available on the market supplemented by smart power management and network resilience mechanisms.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengHindawi LimitedJournal of Sensorsinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Power managementEnergy utilization-1Fog-1Green computing-1Information management-1Information services-1Internet of things-1https://purl.org/pe-repo/ocde/ford#2.07.04-1FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platformsinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/622oai:repositorio.concytec.gob.pe:20.500.12390/6222024-05-30 15:58:18.044https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="05915e4c-c1d4-4d24-be3b-47c63a82c675"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms</Title> <PublishedIn> <Publication> <Title>Journal of Sensors</Title> </Publication> </PublishedIn> <PublicationDate>2018</PublicationDate> <DOI>https://doi.org/10.1155/2018/3406858</DOI> <SCP-Number>2-s2.0-85057484491</SCP-Number> <Authors> <Author> <DisplayName>Castillo-Cara M.</DisplayName> <Person id="rp01248" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Huaranga-Junco E.</DisplayName> <Person id="rp01250" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Quispe-Montesinos M.</DisplayName> <Person id="rp01252" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Orozco-Barbosa L.</DisplayName> <Person id="rp01251" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Antúnez E.A.</DisplayName> <Person id="rp01249" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Hindawi Limited</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Keyword>Power management</Keyword> <Keyword>Energy utilization</Keyword> <Keyword>Fog</Keyword> <Keyword>Green computing</Keyword> <Keyword>Information management</Keyword> <Keyword>Information services</Keyword> <Keyword>Internet of things</Keyword> <Abstract>Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized by their geographical sparsity and increasing demands giving rise to the need of moving from a cloud to a fog model: a novel deployment paradigm characterized by the provisioning of elastic resources geographically located as close as possible to the end user. Despite the large number of wireless sensor networks already available in the market, there are still many issues to be addressed on the design and deployment of robust network platforms capable of meeting the demand and quality of fog-based systems. In this paper, we undertake the design and development of a wireless sensor node for fog computing platforms addressing two of the main issues towards the development and deployment of robust communication services, namely, energy consumption and network resilience provisioning. Our design is guided by examining the relevant macroarchitecture features and operational constraints to be faced by the network platform. We based our solution on the integration of network hardware platforms already available on the market supplemented by smart power management and network resilience mechanisms.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
score |
13.448654 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).