Providing real-time message delivery on opportunistic networks

Autores
Santos, Rodrigo Martin; Orozco, Javier Dario; Ochoa, Sergio F.; Meseguer, Roc; Mosse, Daniel
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
IoT systems monitoring or controlling the behavior of smart environments frequently require to count on real-time message delivery, in order to support decision making and eventually coordinate the individual behavior of their system components. Several initiatives propose the use of opportunistic networks to address this requirement, but none of them support message delivery considering time constraints. Therefore, the support that they provide is partially suitable for conducting real-time monitoring and control of smart environments. In order to address that challenge, this paper proposes a message propagation model for opportunistic networks that considers the participation of heterogeneous devices, and guarantees the real-time behavior of the network by bounding the maximum delay for messages transmission. The message propagation is modeled using an analytical approach that reduces the effort of prototyping and analyzing the properties of these networks. Two running examples, based on disaster relief efforts, are used to illustrate the feasibility of implementing the proposed message dissemination model on opportunistic networks and, thus, to allow real-time communication in the field. These results showed that is feasible not only the implementation of these networks but also their representation using an analytical approach. The networks for both example scenarios were then simulated to confirm the results obtained using the analytical approach. Given the positive results, the proposed model and its representation open several opportunities to model smart environments and design IoT systems that require real-time communication in opportunistic networks.
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
Fil: Orozco, Javier Dario. 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
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
Fil: Mosse, Daniel. University of Pittsburgh; Estados Unidos
Materia
ANALYTIC APPROACH
DISASTER RELIEF SCENARIOS
IOT ECOSYSTEM
OPPORTUNISTIC NETWORKS
REAL-TIME MESSAGE DELIVERY
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:11336/86481
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/86481
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Providing real-time message delivery on opportunistic networksSantos, Rodrigo MartinOrozco, Javier DarioOchoa, Sergio F.Meseguer, RocMosse, DanielANALYTIC APPROACHDISASTER RELIEF SCENARIOSIOT ECOSYSTEMOPPORTUNISTIC NETWORKSREAL-TIME MESSAGE DELIVERYhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1IoT systems monitoring or controlling the behavior of smart environments frequently require to count on real-time message delivery, in order to support decision making and eventually coordinate the individual behavior of their system components. Several initiatives propose the use of opportunistic networks to address this requirement, but none of them support message delivery considering time constraints. Therefore, the support that they provide is partially suitable for conducting real-time monitoring and control of smart environments. In order to address that challenge, this paper proposes a message propagation model for opportunistic networks that considers the participation of heterogeneous devices, and guarantees the real-time behavior of the network by bounding the maximum delay for messages transmission. The message propagation is modeled using an analytical approach that reduces the effort of prototyping and analyzing the properties of these networks. Two running examples, based on disaster relief efforts, are used to illustrate the feasibility of implementing the proposed message dissemination model on opportunistic networks and, thus, to allow real-time communication in the field. These results showed that is feasible not only the implementation of these networks but also their representation using an analytical approach. The networks for both example scenarios were then simulated to confirm the results obtained using the analytical approach. Given the positive results, the proposed model and its representation open several opportunities to model smart environments and design IoT systems that require real-time communication in opportunistic networks.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"; ArgentinaFil: Orozco, Javier Dario. 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"; ArgentinaFil: Ochoa, Sergio F.. Universidad de Chile; ChileFil: Meseguer, Roc. Universidad Politécnica de Catalunya; EspañaFil: Mosse, Daniel. University of Pittsburgh; Estados UnidosInstitute of Electrical and Electronics Engineers2018-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86481Santos, Rodrigo Martin; Orozco, Javier Dario; Ochoa, Sergio F.; Meseguer, Roc; Mosse, Daniel; Providing real-time message delivery on opportunistic networks; Institute of Electrical and Electronics Engineers; IEEE Access; 6; 6-2018; 40696-407122169-3536CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/8396837info:eu-repo/semantics/altIdentifier/doi/10.1109/ACCESS.2018.2848546info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:21:43Zoai:ri.conicet.gov.ar:11336/86481instacron: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:34982025-10-22 12:21:44.147CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Providing real-time message delivery on opportunistic networks
title Providing real-time message delivery on opportunistic networks
spellingShingle Providing real-time message delivery on opportunistic networks
Santos, Rodrigo Martin
ANALYTIC APPROACH
DISASTER RELIEF SCENARIOS
IOT ECOSYSTEM
OPPORTUNISTIC NETWORKS
REAL-TIME MESSAGE DELIVERY
title_short Providing real-time message delivery on opportunistic networks
title_full Providing real-time message delivery on opportunistic networks
title_fullStr Providing real-time message delivery on opportunistic networks
title_full_unstemmed Providing real-time message delivery on opportunistic networks
title_sort Providing real-time message delivery on opportunistic networks
dc.creator.none.fl_str_mv Santos, Rodrigo Martin
Orozco, Javier Dario
Ochoa, Sergio F.
Meseguer, Roc
Mosse, Daniel
author Santos, Rodrigo Martin
author_facet Santos, Rodrigo Martin
Orozco, Javier Dario
Ochoa, Sergio F.
Meseguer, Roc
Mosse, Daniel
author_role author
author2 Orozco, Javier Dario
Ochoa, Sergio F.
Meseguer, Roc
Mosse, Daniel
author2_role author
author
author
author
dc.subject.none.fl_str_mv ANALYTIC APPROACH
DISASTER RELIEF SCENARIOS
IOT ECOSYSTEM
OPPORTUNISTIC NETWORKS
REAL-TIME MESSAGE DELIVERY
topic ANALYTIC APPROACH
DISASTER RELIEF SCENARIOS
IOT ECOSYSTEM
OPPORTUNISTIC NETWORKS
REAL-TIME MESSAGE DELIVERY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv IoT systems monitoring or controlling the behavior of smart environments frequently require to count on real-time message delivery, in order to support decision making and eventually coordinate the individual behavior of their system components. Several initiatives propose the use of opportunistic networks to address this requirement, but none of them support message delivery considering time constraints. Therefore, the support that they provide is partially suitable for conducting real-time monitoring and control of smart environments. In order to address that challenge, this paper proposes a message propagation model for opportunistic networks that considers the participation of heterogeneous devices, and guarantees the real-time behavior of the network by bounding the maximum delay for messages transmission. The message propagation is modeled using an analytical approach that reduces the effort of prototyping and analyzing the properties of these networks. Two running examples, based on disaster relief efforts, are used to illustrate the feasibility of implementing the proposed message dissemination model on opportunistic networks and, thus, to allow real-time communication in the field. These results showed that is feasible not only the implementation of these networks but also their representation using an analytical approach. The networks for both example scenarios were then simulated to confirm the results obtained using the analytical approach. Given the positive results, the proposed model and its representation open several opportunities to model smart environments and design IoT systems that require real-time communication in opportunistic networks.
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
Fil: Orozco, Javier Dario. 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
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
Fil: Mosse, Daniel. University of Pittsburgh; Estados Unidos
description IoT systems monitoring or controlling the behavior of smart environments frequently require to count on real-time message delivery, in order to support decision making and eventually coordinate the individual behavior of their system components. Several initiatives propose the use of opportunistic networks to address this requirement, but none of them support message delivery considering time constraints. Therefore, the support that they provide is partially suitable for conducting real-time monitoring and control of smart environments. In order to address that challenge, this paper proposes a message propagation model for opportunistic networks that considers the participation of heterogeneous devices, and guarantees the real-time behavior of the network by bounding the maximum delay for messages transmission. The message propagation is modeled using an analytical approach that reduces the effort of prototyping and analyzing the properties of these networks. Two running examples, based on disaster relief efforts, are used to illustrate the feasibility of implementing the proposed message dissemination model on opportunistic networks and, thus, to allow real-time communication in the field. These results showed that is feasible not only the implementation of these networks but also their representation using an analytical approach. The networks for both example scenarios were then simulated to confirm the results obtained using the analytical approach. Given the positive results, the proposed model and its representation open several opportunities to model smart environments and design IoT systems that require real-time communication in opportunistic networks.
publishDate 2018
dc.date.none.fl_str_mv 2018-06
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/11336/86481
Santos, Rodrigo Martin; Orozco, Javier Dario; Ochoa, Sergio F.; Meseguer, Roc; Mosse, Daniel; Providing real-time message delivery on opportunistic networks; Institute of Electrical and Electronics Engineers; IEEE Access; 6; 6-2018; 40696-40712
2169-3536
CONICET Digital
CONICET
url http://hdl.handle.net/11336/86481
identifier_str_mv Santos, Rodrigo Martin; Orozco, Javier Dario; Ochoa, Sergio F.; Meseguer, Roc; Mosse, Daniel; Providing real-time message delivery on opportunistic networks; Institute of Electrical and Electronics Engineers; IEEE Access; 6; 6-2018; 40696-40712
2169-3536
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://ieeexplore.ieee.org/document/8396837
info:eu-repo/semantics/altIdentifier/doi/10.1109/ACCESS.2018.2848546
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
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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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score 12.982451

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