Flying real-time network for disaster assistance

Autores
Santos, Rodrigo Martin; Orozco, Javier Dario; Escudero Mosset, Pablo Daniel; Petrucci, Vinicius; Ochoa, Sergio F.; Meseguer, Roc
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Landslides and large floods are serious natural disasters that every year cause multiple deaths and loss in property around the world. When these events occur in areas like the “favelas” or mountain regions in coastal cities like Rio de Janeiro, the situation becomes critical as buildings and infrastructures are not prepared to withstand them. Search and rescue teams in such disaster areas need to rely on real-time communication, which often cannot be adequately provided by cell or radio networks. In this paper, we argue that flying ad-hoc networks can provide the support needed in these scenarios and propose a new solution towards that goal, termed Flying Witness Units. We make our case by presenting real-time schedulability analysis of message delivery for a disaster scenario.
Fil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Orozco, Javier Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Escudero Mosset, Pablo Daniel. University of Pittsburgh; Estados Unidos
Fil: Petrucci, Vinicius. Universidade Federal da Bahia; Brasil
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
Materia
Disaster Management
Fanet
Real-Time
Schedulability
Uavs
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:11336/64665
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Flying real-time network for disaster assistanceSantos, Rodrigo MartinOrozco, Javier DarioEscudero Mosset, Pablo DanielPetrucci, ViniciusOchoa, Sergio F.Meseguer, RocDisaster ManagementFanetReal-TimeSchedulabilityUavshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Landslides and large floods are serious natural disasters that every year cause multiple deaths and loss in property around the world. When these events occur in areas like the “favelas” or mountain regions in coastal cities like Rio de Janeiro, the situation becomes critical as buildings and infrastructures are not prepared to withstand them. Search and rescue teams in such disaster areas need to rely on real-time communication, which often cannot be adequately provided by cell or radio networks. In this paper, we argue that flying ad-hoc networks can provide the support needed in these scenarios and propose a new solution towards that goal, termed Flying Witness Units. We make our case by presenting real-time schedulability analysis of message delivery for a disaster scenario.Fil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; ArgentinaFil: Orozco, Javier Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; ArgentinaFil: Escudero Mosset, Pablo Daniel. University of Pittsburgh; Estados UnidosFil: Petrucci, Vinicius. Universidade Federal da Bahia; BrasilFil: Ochoa, Sergio F.. Universidad de Chile; ChileFil: Meseguer, Roc. Universidad Politécnica de Catalunya; EspañaSpringer2017-10-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/64665Santos, Rodrigo Martin; Orozco, Javier Dario; Escudero Mosset, Pablo Daniel; Petrucci, Vinicius; Ochoa, Sergio F.; et al.; Flying real-time network for disaster assistance; Springer; Lecture Notes in Computer Science; 10586 LNCS; 7-10-2017; 591-602978-3-319-67584-80302-9743CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-319-67585-5_58info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-67585-5_58info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:06:06Zoai:ri.conicet.gov.ar:11336/64665instacron: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 10:06:06.394CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Flying real-time network for disaster assistance
title Flying real-time network for disaster assistance
spellingShingle Flying real-time network for disaster assistance
Santos, Rodrigo Martin
Disaster Management
Fanet
Real-Time
Schedulability
Uavs
title_short Flying real-time network for disaster assistance
title_full Flying real-time network for disaster assistance
title_fullStr Flying real-time network for disaster assistance
title_full_unstemmed Flying real-time network for disaster assistance
title_sort Flying real-time network for disaster assistance
dc.creator.none.fl_str_mv Santos, Rodrigo Martin
Orozco, Javier Dario
Escudero Mosset, Pablo Daniel
Petrucci, Vinicius
Ochoa, Sergio F.
Meseguer, Roc
author Santos, Rodrigo Martin
author_facet Santos, Rodrigo Martin
Orozco, Javier Dario
Escudero Mosset, Pablo Daniel
Petrucci, Vinicius
Ochoa, Sergio F.
Meseguer, Roc
author_role author
author2 Orozco, Javier Dario
Escudero Mosset, Pablo Daniel
Petrucci, Vinicius
Ochoa, Sergio F.
Meseguer, Roc
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Disaster Management
Fanet
Real-Time
Schedulability
Uavs
topic Disaster Management
Fanet
Real-Time
Schedulability
Uavs
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Landslides and large floods are serious natural disasters that every year cause multiple deaths and loss in property around the world. When these events occur in areas like the “favelas” or mountain regions in coastal cities like Rio de Janeiro, the situation becomes critical as buildings and infrastructures are not prepared to withstand them. Search and rescue teams in such disaster areas need to rely on real-time communication, which often cannot be adequately provided by cell or radio networks. In this paper, we argue that flying ad-hoc networks can provide the support needed in these scenarios and propose a new solution towards that goal, termed Flying Witness Units. We make our case by presenting real-time schedulability analysis of message delivery for a disaster scenario.
Fil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Orozco, Javier Dario. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: Escudero Mosset, Pablo Daniel. University of Pittsburgh; Estados Unidos
Fil: Petrucci, Vinicius. Universidade Federal da Bahia; Brasil
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
description Landslides and large floods are serious natural disasters that every year cause multiple deaths and loss in property around the world. When these events occur in areas like the “favelas” or mountain regions in coastal cities like Rio de Janeiro, the situation becomes critical as buildings and infrastructures are not prepared to withstand them. Search and rescue teams in such disaster areas need to rely on real-time communication, which often cannot be adequately provided by cell or radio networks. In this paper, we argue that flying ad-hoc networks can provide the support needed in these scenarios and propose a new solution towards that goal, termed Flying Witness Units. We make our case by presenting real-time schedulability analysis of message delivery for a disaster scenario.
publishDate 2017
dc.date.none.fl_str_mv 2017-10-07
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/11336/64665
Santos, Rodrigo Martin; Orozco, Javier Dario; Escudero Mosset, Pablo Daniel; Petrucci, Vinicius; Ochoa, Sergio F.; et al.; Flying real-time network for disaster assistance; Springer; Lecture Notes in Computer Science; 10586 LNCS; 7-10-2017; 591-602
978-3-319-67584-8
0302-9743
CONICET Digital
CONICET
url http://hdl.handle.net/11336/64665
identifier_str_mv Santos, Rodrigo Martin; Orozco, Javier Dario; Escudero Mosset, Pablo Daniel; Petrucci, Vinicius; Ochoa, Sergio F.; et al.; Flying real-time network for disaster assistance; Springer; Lecture Notes in Computer Science; 10586 LNCS; 7-10-2017; 591-602
978-3-319-67584-8
0302-9743
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://link.springer.com/chapter/10.1007/978-3-319-67585-5_58
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-67585-5_58
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 Springer
publisher.none.fl_str_mv Springer
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_ 1842269942446030848
score 13.13397

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