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dc.contributor.author
Santos, Rodrigo Martin
dc.contributor.author
Orozco, Javier Dario
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Ochoa, Sergio F.
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Meseguer, Roc
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Mosse, Daniel
dc.date.available
2018-11-15T14:34:58Z
dc.date.issued
2017-10-07
dc.identifier.citation
Santos, Rodrigo Martin; Orozco, Javier Dario; Ochoa, Sergio F.; Meseguer, Roc; Mosse, Daniel; Supporting real-time message delivery in disaster relief efforts: An analytical approach; Springer; Lecture Notes in Computer Science; 10586 LNCS; 7-10-2017; 579-590
dc.identifier.isbn
978-3-319-67584-8
dc.identifier.issn
0302-9743
dc.identifier.uri
http://hdl.handle.net/11336/64518
dc.description.abstract
Several initiatives propose the use of opportunistic networks and heterogeneous devices to help overcome the communication and coordination limitations evidenced during first response activities in disaster relief scenarios. These solutions tend to create an Internet of Things ecosystem in which most components are mobile, autonomous and interact with other in a loosely-coupled fashion. Regardless the benefits provided by these infrastructures, the message delivery on them does not consider time constraints. This aspect is particularly relevant in this scenario since the time to conduct the first response activities is quite short, therefore they must be done quickly and coordinately. Trying to help address this challenge, this paper proposes a message propagation model for opportunistic networks that considers 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. Two different scheduling policies are used to analyze the model and their feasibility conditions are proved.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Disaster Relief Scenarios
dc.subject
Mobile Computing Ecosystem
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Opportunistic Networks
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Real-Time Message Delivery
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Ingeniería de Sistemas y Comunicaciones
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Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
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INGENIERÍAS Y TECNOLOGÍAS
dc.title
Supporting real-time message delivery in disaster relief efforts: An analytical approach
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-10-22T18:08:26Z
dc.journal.volume
10586 LNCS
dc.journal.pagination
579-590
dc.journal.pais
Alemania
dc.journal.ciudad
Heidelberg
dc.description.fil
Fil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
dc.description.fil
Fil: Orozco, Javier Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
dc.description.fil
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
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Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
dc.description.fil
Fil: Mosse, Daniel. University of Pittsburgh; Estados Unidos
dc.journal.title
Lecture Notes in Computer Science
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-319-67585-5_57
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1007/978-3-319-67585-5_57
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