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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/11754
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T09:53:08Zoai: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:34982025-09-03 09:53:09.102CONICET 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 |
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1842269204143669248 |
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13.13397 |