A geographic opportunistic forwarding strategy for vehicular named data networking

Bibliographic Details
Main Author: Xuejie Liu
Publication Date: 2016
Other Authors: Nicolau, Maria João, Costa, António, Macedo, Joaquim, Santos, Alexandre
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/39225
Summary: Studies in Computational Intelligence, 616
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network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling A geographic opportunistic forwarding strategy for vehicular named data networkingVehicular networksOpportunistic forwardingNamed data networkingGeographic routingEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaStudies in Computational Intelligence, 616Recent advanced intelligent devices enable vehicles to retrieve information while they are traveling along a road. The store-carry-and-forward paradigm has a better performance than traditional communication due to the tolerance to intermittent connectivity in vehicular networks. Named Data Networking is an alternative to IP-based networks for data retrieval. On account of most vehicular applications taking interest in geographic location related information, this paper propose a Geographical Opportunistic Forwarding Protocol (GOFP) to support geo-tagged name based information retrieval in Vehicle Named Data Networking (V-NDN). The proposed protocol adopts the opportunistic forwarding strategy, and the position of interest and trajectories of vehicles are used in forwarding decision. Then the ONE simulator is extended to support GOFP and simulation results show that GOFP has a better performance when compared to other similar protocols in V-NDN.This work is supported in part by the Fundamental Research Funds of Jilin University, No. 450060491509 and partially supported by FCT-Fundacao para a Ciencia e Tecnologia Portugal in the scope of the project: UID/CEC/00319/2013.Springer International Publishing AGUniversidade do MinhoXuejie LiuNicolau, Maria JoãoCosta, AntónioMacedo, JoaquimSantos, Alexandre20162016-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/39225eng978-3-319-25015-11860-949X10.1007/978-3-319-25017-5_48http://link.springer.com/chapter/10.1007%2F978-3-319-25017-5_48info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T05:12:28Zoai:repositorium.sdum.uminho.pt:1822/39225Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:11:24.679291Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A geographic opportunistic forwarding strategy for vehicular named data networking
title A geographic opportunistic forwarding strategy for vehicular named data networking
spellingShingle A geographic opportunistic forwarding strategy for vehicular named data networking
Xuejie Liu
Vehicular networks
Opportunistic forwarding
Named data networking
Geographic routing
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
title_short A geographic opportunistic forwarding strategy for vehicular named data networking
title_full A geographic opportunistic forwarding strategy for vehicular named data networking
title_fullStr A geographic opportunistic forwarding strategy for vehicular named data networking
title_full_unstemmed A geographic opportunistic forwarding strategy for vehicular named data networking
title_sort A geographic opportunistic forwarding strategy for vehicular named data networking
author Xuejie Liu
author_facet Xuejie Liu
Nicolau, Maria João
Costa, António
Macedo, Joaquim
Santos, Alexandre
author_role author
author2 Nicolau, Maria João
Costa, António
Macedo, Joaquim
Santos, Alexandre
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Xuejie Liu
Nicolau, Maria João
Costa, António
Macedo, Joaquim
Santos, Alexandre
dc.subject.por.fl_str_mv Vehicular networks
Opportunistic forwarding
Named data networking
Geographic routing
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
topic Vehicular networks
Opportunistic forwarding
Named data networking
Geographic routing
Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
description Studies in Computational Intelligence, 616
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/39225
url http://hdl.handle.net/1822/39225
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-3-319-25015-1
1860-949X
10.1007/978-3-319-25017-5_48
http://link.springer.com/chapter/10.1007%2F978-3-319-25017-5_48
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer International Publishing AG
publisher.none.fl_str_mv Springer International Publishing AG
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833595154220449792

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