Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks

Autores
Meseguer, Roc; Molina, Carlos; Ochoa, Sergio F.; Santos, Rodrigo Martin
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The adoption of mobile and ubiquitous solutions that involve participatory or opportunistic sensing increases every day. This situation has highlighted the relevance of optimizing the energy consumption of these solutions, because their operation depends on the devices’ battery lifetimes. This article presents a study that intends to understand how the prediction of topology control messages in human-centric wireless sensor networks can be used to help reduce the energy consumption of the participating devices. In order to do that, five research questions have been defined and a study based on simulations was conducted to answer these questions. The obtained results help identify suitable mobile computing scenarios where the prediction of topology control messages can be used to save energy of the network nodes. These results also allow estimating the percentage of energy saving that can be expected, according to the features of the work scenario and the participants behavior. Designers of mobile collaborative applications that involve participatory or opportunistic sensing, can take advantage of these findings to increase the autonomy of their solutions.
Fil: Meseguer, Roc . Universidad Politecnica de Catalunya; España
Fil: Molina, Carlos. Universitat Rovira I Virgili; España
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Santos, Rodrigo Martin. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras. Laboratorio de Sistemas Digitales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina
Materia
Human-Centric Wireless Sensor Network
Energy Consumption
Topology Control Messages
Message Prediction
Participatory Sensing
Opportunistic Sensing
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:11336/11754
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/11754
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor NetworksMeseguer, Roc Molina, CarlosOchoa, Sergio F.Santos, Rodrigo MartinHuman-Centric Wireless Sensor NetworkEnergy ConsumptionTopology Control MessagesMessage PredictionParticipatory SensingOpportunistic Sensinghttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The adoption of mobile and ubiquitous solutions that involve participatory or opportunistic sensing increases every day. This situation has highlighted the relevance of optimizing the energy consumption of these solutions, because their operation depends on the devices’ battery lifetimes. This article presents a study that intends to understand how the prediction of topology control messages in human-centric wireless sensor networks can be used to help reduce the energy consumption of the participating devices. In order to do that, five research questions have been defined and a study based on simulations was conducted to answer these questions. The obtained results help identify suitable mobile computing scenarios where the prediction of topology control messages can be used to save energy of the network nodes. These results also allow estimating the percentage of energy saving that can be expected, according to the features of the work scenario and the participants behavior. Designers of mobile collaborative applications that involve participatory or opportunistic sensing, can take advantage of these findings to increase the autonomy of their solutions.Fil: Meseguer, Roc . Universidad Politecnica de Catalunya; EspañaFil: Molina, Carlos. Universitat Rovira I Virgili; EspañaFil: Ochoa, Sergio F.. Universidad de Chile; ChileFil: Santos, Rodrigo Martin. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras. Laboratorio de Sistemas Digitales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; ArgentinaMolecular Diversity Preservation International2014-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/11754Meseguer, Roc ; Molina, Carlos; Ochoa, Sergio F.; Santos, Rodrigo Martin; Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks; Molecular Diversity Preservation International; Sensors; 14; 2; 2-2014; 2619-26431424-8220enginfo:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1424-8220/14/2/2619info:eu-repo/semantics/altIdentifier/doi/10.3390/s140202619info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:51:52Zoai:ri.conicet.gov.ar:11336/11754instacron: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 09:51:52.663CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks
title Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks
spellingShingle Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks
Meseguer, Roc
Human-Centric Wireless Sensor Network
Energy Consumption
Topology Control Messages
Message Prediction
Participatory Sensing
Opportunistic Sensing
title_short Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks
title_full Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks
title_fullStr Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks
title_full_unstemmed Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks
title_sort Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks
dc.creator.none.fl_str_mv Meseguer, Roc
Molina, Carlos
Ochoa, Sergio F.
Santos, Rodrigo Martin
author Meseguer, Roc
author_facet Meseguer, Roc
Molina, Carlos
Ochoa, Sergio F.
Santos, Rodrigo Martin
author_role author
author2 Molina, Carlos
Ochoa, Sergio F.
Santos, Rodrigo Martin
author2_role author
author
author
dc.subject.none.fl_str_mv Human-Centric Wireless Sensor Network
Energy Consumption
Topology Control Messages
Message Prediction
Participatory Sensing
Opportunistic Sensing
topic Human-Centric Wireless Sensor Network
Energy Consumption
Topology Control Messages
Message Prediction
Participatory Sensing
Opportunistic Sensing
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The adoption of mobile and ubiquitous solutions that involve participatory or opportunistic sensing increases every day. This situation has highlighted the relevance of optimizing the energy consumption of these solutions, because their operation depends on the devices’ battery lifetimes. This article presents a study that intends to understand how the prediction of topology control messages in human-centric wireless sensor networks can be used to help reduce the energy consumption of the participating devices. In order to do that, five research questions have been defined and a study based on simulations was conducted to answer these questions. The obtained results help identify suitable mobile computing scenarios where the prediction of topology control messages can be used to save energy of the network nodes. These results also allow estimating the percentage of energy saving that can be expected, according to the features of the work scenario and the participants behavior. Designers of mobile collaborative applications that involve participatory or opportunistic sensing, can take advantage of these findings to increase the autonomy of their solutions.
Fil: Meseguer, Roc . Universidad Politecnica de Catalunya; España
Fil: Molina, Carlos. Universitat Rovira I Virgili; España
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Santos, Rodrigo Martin. Universidad Nacional del Sur. Departamento de Ingenieria Electrica y de Computadoras. Laboratorio de Sistemas Digitales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto de Investigación en Ingeniería Eléctrica; Argentina
description The adoption of mobile and ubiquitous solutions that involve participatory or opportunistic sensing increases every day. This situation has highlighted the relevance of optimizing the energy consumption of these solutions, because their operation depends on the devices’ battery lifetimes. This article presents a study that intends to understand how the prediction of topology control messages in human-centric wireless sensor networks can be used to help reduce the energy consumption of the participating devices. In order to do that, five research questions have been defined and a study based on simulations was conducted to answer these questions. The obtained results help identify suitable mobile computing scenarios where the prediction of topology control messages can be used to save energy of the network nodes. These results also allow estimating the percentage of energy saving that can be expected, according to the features of the work scenario and the participants behavior. Designers of mobile collaborative applications that involve participatory or opportunistic sensing, can take advantage of these findings to increase the autonomy of their solutions.
publishDate 2014
dc.date.none.fl_str_mv 2014-02
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/11336/11754
Meseguer, Roc ; Molina, Carlos; Ochoa, Sergio F.; Santos, Rodrigo Martin; Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks; Molecular Diversity Preservation International; Sensors; 14; 2; 2-2014; 2619-2643
1424-8220
url http://hdl.handle.net/11336/11754
identifier_str_mv Meseguer, Roc ; Molina, Carlos; Ochoa, Sergio F.; Santos, Rodrigo Martin; Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks; Molecular Diversity Preservation International; Sensors; 14; 2; 2-2014; 2619-2643
1424-8220
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.mdpi.com/1424-8220/14/2/2619
info:eu-repo/semantics/altIdentifier/doi/10.3390/s140202619
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_ 1844613593097568256
score 13.069144

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