Structural changes in data communication in wireless sensor networks

Autores
Cabral, Raquel da Silva; Aquino, Andre L. L.; Frery, Alejandro César; Rosso, Osvaldo Anibal; Ramirez, Javier Alberto
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Wireless sensor networks are an important technology for making distributed autonomous measures in hostile or inaccessible environments. Among the challenges they pose, the way data travel among them is a relevant issue since their structure is quite dynamic. The operational topology of such devices can often be described by complex networks. In this work, we assess the variation of measures commonly employed in the complex networks literature applied to wireless sensor networks. Four data communication strategies were considered: geometric, random, small-world, and scale-free models, along with the shortest path length measure. The sensitivity of this measure was analyzed with respect to the following perturbations: insertion and removal of nodes in the geometric strategy; and insertion, removal and rewiring of links in the other models. The assessment was performed using the normalized Kullback-Leibler divergence and Hellinger distance quantifiers, both deriving from the Information Theory framework. The results reveal that the shortest path length is sensitive to perturbations.
Fil: Cabral, Raquel da Silva. Universidade Federal do Minas Gerais; Brasil
Fil: Aquino, Andre L. L.. Universidade Federal de Alagoas; Brasil
Fil: Frery, Alejandro César. Universidade Federal de Alagoas; Brasil
Fil: Rosso, Osvaldo Anibal. Universidade Federal de Alagoas; Brasil. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ramirez, Javier Alberto. Universidade Federal do Minas Gerais; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Complex Networks
Structural Measures
Stochastic Quantifiers
Information Theory Quantifiers
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/22743
Acceder
id CONICETDig_aa21a64d0ad48cfda0a3112b54d0770e
oai_identifier_str oai:ri.conicet.gov.ar:11336/22743
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Structural changes in data communication in wireless sensor networksCabral, Raquel da SilvaAquino, Andre L. L.Frery, Alejandro CésarRosso, Osvaldo AnibalRamirez, Javier AlbertoComplex NetworksStructural MeasuresStochastic QuantifiersInformation Theory Quantifiershttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Wireless sensor networks are an important technology for making distributed autonomous measures in hostile or inaccessible environments. Among the challenges they pose, the way data travel among them is a relevant issue since their structure is quite dynamic. The operational topology of such devices can often be described by complex networks. In this work, we assess the variation of measures commonly employed in the complex networks literature applied to wireless sensor networks. Four data communication strategies were considered: geometric, random, small-world, and scale-free models, along with the shortest path length measure. The sensitivity of this measure was analyzed with respect to the following perturbations: insertion and removal of nodes in the geometric strategy; and insertion, removal and rewiring of links in the other models. The assessment was performed using the normalized Kullback-Leibler divergence and Hellinger distance quantifiers, both deriving from the Information Theory framework. The results reveal that the shortest path length is sensitive to perturbations.Fil: Cabral, Raquel da Silva. Universidade Federal do Minas Gerais; BrasilFil: Aquino, Andre L. L.. Universidade Federal de Alagoas; BrasilFil: Frery, Alejandro César. Universidade Federal de Alagoas; BrasilFil: Rosso, Osvaldo Anibal. Universidade Federal de Alagoas; Brasil. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ramirez, Javier Alberto. Universidade Federal do Minas Gerais; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaVersita2013-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/22743Cabral, Raquel da Silva; Aquino, Andre L. L.; Frery, Alejandro César; Rosso, Osvaldo Anibal; Ramirez, Javier Alberto; Structural changes in data communication in wireless sensor networks; Versita; Central European Journal of Physics; 11; 12; 8-2013; 1645-16521895-10821644-3608CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2478/s11534-013-0293-2info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/view/j/phys.2013.11.issue-12/s11534-013-0293-2/s11534-013-0293-2.xmlinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.2478/s11534-013-0293-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:33:36Zoai:ri.conicet.gov.ar:11336/22743instacron: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 10:33:36.348CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Structural changes in data communication in wireless sensor networks
title Structural changes in data communication in wireless sensor networks
spellingShingle Structural changes in data communication in wireless sensor networks
Cabral, Raquel da Silva
Complex Networks
Structural Measures
Stochastic Quantifiers
Information Theory Quantifiers
title_short Structural changes in data communication in wireless sensor networks
title_full Structural changes in data communication in wireless sensor networks
title_fullStr Structural changes in data communication in wireless sensor networks
title_full_unstemmed Structural changes in data communication in wireless sensor networks
title_sort Structural changes in data communication in wireless sensor networks
dc.creator.none.fl_str_mv Cabral, Raquel da Silva
Aquino, Andre L. L.
Frery, Alejandro César
Rosso, Osvaldo Anibal
Ramirez, Javier Alberto
author Cabral, Raquel da Silva
author_facet Cabral, Raquel da Silva
Aquino, Andre L. L.
Frery, Alejandro César
Rosso, Osvaldo Anibal
Ramirez, Javier Alberto
author_role author
author2 Aquino, Andre L. L.
Frery, Alejandro César
Rosso, Osvaldo Anibal
Ramirez, Javier Alberto
author2_role author
author
author
author
dc.subject.none.fl_str_mv Complex Networks
Structural Measures
Stochastic Quantifiers
Information Theory Quantifiers
topic Complex Networks
Structural Measures
Stochastic Quantifiers
Information Theory Quantifiers
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Wireless sensor networks are an important technology for making distributed autonomous measures in hostile or inaccessible environments. Among the challenges they pose, the way data travel among them is a relevant issue since their structure is quite dynamic. The operational topology of such devices can often be described by complex networks. In this work, we assess the variation of measures commonly employed in the complex networks literature applied to wireless sensor networks. Four data communication strategies were considered: geometric, random, small-world, and scale-free models, along with the shortest path length measure. The sensitivity of this measure was analyzed with respect to the following perturbations: insertion and removal of nodes in the geometric strategy; and insertion, removal and rewiring of links in the other models. The assessment was performed using the normalized Kullback-Leibler divergence and Hellinger distance quantifiers, both deriving from the Information Theory framework. The results reveal that the shortest path length is sensitive to perturbations.
Fil: Cabral, Raquel da Silva. Universidade Federal do Minas Gerais; Brasil
Fil: Aquino, Andre L. L.. Universidade Federal de Alagoas; Brasil
Fil: Frery, Alejandro César. Universidade Federal de Alagoas; Brasil
Fil: Rosso, Osvaldo Anibal. Universidade Federal de Alagoas; Brasil. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Computación. Laboratorio de Sistemas Complejos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ramirez, Javier Alberto. Universidade Federal do Minas Gerais; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Wireless sensor networks are an important technology for making distributed autonomous measures in hostile or inaccessible environments. Among the challenges they pose, the way data travel among them is a relevant issue since their structure is quite dynamic. The operational topology of such devices can often be described by complex networks. In this work, we assess the variation of measures commonly employed in the complex networks literature applied to wireless sensor networks. Four data communication strategies were considered: geometric, random, small-world, and scale-free models, along with the shortest path length measure. The sensitivity of this measure was analyzed with respect to the following perturbations: insertion and removal of nodes in the geometric strategy; and insertion, removal and rewiring of links in the other models. The assessment was performed using the normalized Kullback-Leibler divergence and Hellinger distance quantifiers, both deriving from the Information Theory framework. The results reveal that the shortest path length is sensitive to perturbations.
publishDate 2013
dc.date.none.fl_str_mv 2013-08
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/11336/22743
Cabral, Raquel da Silva; Aquino, Andre L. L.; Frery, Alejandro César; Rosso, Osvaldo Anibal; Ramirez, Javier Alberto; Structural changes in data communication in wireless sensor networks; Versita; Central European Journal of Physics; 11; 12; 8-2013; 1645-1652
1895-1082
1644-3608
CONICET Digital
CONICET
url http://hdl.handle.net/11336/22743
identifier_str_mv Cabral, Raquel da Silva; Aquino, Andre L. L.; Frery, Alejandro César; Rosso, Osvaldo Anibal; Ramirez, Javier Alberto; Structural changes in data communication in wireless sensor networks; Versita; Central European Journal of Physics; 11; 12; 8-2013; 1645-1652
1895-1082
1644-3608
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.2478/s11534-013-0293-2
info:eu-repo/semantics/altIdentifier/url/https://www.degruyter.com/view/j/phys.2013.11.issue-12/s11534-013-0293-2/s11534-013-0293-2.xml
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.2478/s11534-013-0293-2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Versita
publisher.none.fl_str_mv Versita
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_ 1844614351561949184
score 13.070432

Publicaciones similares