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Authordc.contributor.authorSantos, Rodrigo M. 
Authordc.contributor.authorOrozco, Javier 
Authordc.contributor.authorOchoa Delorenzi, Sergio 
Authordc.contributor.authorMeseguer, Roc 
Authordc.contributor.authorMosse, Daniel 
Admission datedc.date.accessioned2019-05-29T13:39:08Z
Available datedc.date.available2019-05-29T13:39:08Z
Publication datedc.date.issued2017
Cita de ítemdc.identifier.citationLecture Notes in Computer Science , (LNCS, volume 10586), 2017
Identifierdc.identifier.issn16113349
Identifierdc.identifier.issn03029743
Identifierdc.identifier.other10.1007/978-3-319-67585-5_57
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/169019
Abstractdc.description.abstractSeveral initiatives propose the use of opportunistic networksand heterogeneous devices to help overcome the communication andcoordination limitations evidenced during first response activities in dis-aster relief scenarios. These solutions tend to create an Internet of Thingsecosystem in which most components are mobile, autonomous and inter-act with other in a loosely-coupled fashion. Regardless the benefits pro-vided by these infrastructures, the message delivery on them does notconsider time constraints. This aspect is particularly relevant in thisscenario since the time to conduct the first response activities is quiteshort, therefore they must be done quickly and coordinately. Trying tohelp address this challenge, this paper proposes a message propagationmodel for opportunistic networks that considers heterogeneous devicesand guarantees the real-time behavior of the network by bounding themaximum delay for messages transmission. The message propagation ismodeled using an analytical approach. Two different scheduling policiesare used to analyze the model and their feasibility conditions are proved.
Lenguagedc.language.isoen
Publisherdc.publisherSpringer
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceLecture Notes in Computer Science
Keywordsdc.subjectDisaster relief scenarios
Keywordsdc.subjectMobile computing ecosystem
Keywordsdc.subjectOpportunistic networks
Keywordsdc.subjectReal-time message delivery
Títulodc.titleSupporting real-time message delivery in disaster relief efforts: An analytical approach
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorlaj
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile