Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas
As of late, traffic blockage, street mishaps, and ecological contamination brought about by traffic, alongside the need to associate and utilize constant applications, have become issues of worldwide intrigue. Different on-screen characters, for example, vehicle producers, the scholarly community, a...
- Autores:
-
Píneda Lezama, Omar Bonerge
Varela Izquierdo, Noel
amelec, viloria
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7912
- Acceso en línea:
- https://hdl.handle.net/11323/7912
https://repositorio.cuc.edu.co/
- Palabra clave:
- Coverage
VANET
WIFI
DSRC
Heterogeneous
Throughput
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
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dc.title.spa.fl_str_mv |
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas |
title |
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas |
spellingShingle |
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas Coverage VANET WIFI DSRC Heterogeneous Throughput |
title_short |
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas |
title_full |
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas |
title_fullStr |
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas |
title_full_unstemmed |
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas |
title_sort |
Vanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas |
dc.creator.fl_str_mv |
Píneda Lezama, Omar Bonerge Varela Izquierdo, Noel amelec, viloria |
dc.contributor.author.spa.fl_str_mv |
Píneda Lezama, Omar Bonerge Varela Izquierdo, Noel amelec, viloria |
dc.subject.spa.fl_str_mv |
Coverage VANET WIFI DSRC Heterogeneous Throughput |
topic |
Coverage VANET WIFI DSRC Heterogeneous Throughput |
description |
As of late, traffic blockage, street mishaps, and ecological contamination brought about by traffic, alongside the need to associate and utilize constant applications, have become issues of worldwide intrigue. Different on-screen characters, for example, vehicle producers, the scholarly community, and government offices have begun to invest a ton of energy together towards the acknowledgment of the idea of huge scope vehicular interchanges. One of the primary methodologies in this kind of system is the advancement of remote advances and their assorted organizations, concentrating on the association with the Internet through WiFi systems, cell systems, or specially appointed vehicular systems. VANETs are essentially intended to give data trade through Vehicle to Vehicle (V2V) and Vehicle to foundation (V2I) interchanges, permitting ceaseless network and being exceptionally utilized for short-range correspondence, with high transmission speed through which it is proposed that clients keep up an association and distinguish occasions about clog or street conditions. This exploration presents a vehicular situation that tries to acquire a sufficient presentation while executing a heterogeneous network in a few segments of the city of Bogotá, Colombia. |
publishDate |
2020 |
dc.date.issued.none.fl_str_mv |
2020 |
dc.date.accessioned.none.fl_str_mv |
2021-02-23T19:48:00Z |
dc.date.available.none.fl_str_mv |
2021-02-23T19:48:00Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://hdl.handle.net/11323/7912 |
dc.identifier.doi.spa.fl_str_mv |
10.3233/jifs-189151 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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https://hdl.handle.net/11323/7912 https://repositorio.cuc.edu.co/ |
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10.3233/jifs-189151 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
dc.language.iso.none.fl_str_mv |
eng |
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eng |
dc.relation.references.spa.fl_str_mv |
Optimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach Journal of Intelligent & Fuzzy Systems (IF 1.851) Pub Date : 2020-12-04 ,DOI:10.3233/jifs-189134 A User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks Computational Intelligence and Neuroscience (IF 2.284) Pub Date : 2020-11-24 ,DOI:10.1155/2020/8828355 Paper recommendation based on heterogeneous network embedding Knowledge-Based Systems (IF 5.921) Pub Date : 2020-09-28 ,DOI:10.1016/j.knosys.2020.106438 MFRep: Joint user and employer alignment across heterogeneous social networks Neurocomputing (IF 4.438) Pub Date : 2020-07-22 ,DOI:10.1016/j.neucom.2020.07.013 Rich heterogeneous information preserving network representation learning Pattern Recognition (IF 7.196) Pub Date : 2020-07-22 ,DOI:10.1016/j.patcog.2020.107564 HetNERec: Heterogeneous network embedding based recommendation Knowledge-Based Systems (IF 5.921) Pub Date : 2020-07-07 ,DOI:10.1016/j.knosys.2020.106218 Bio-inspired VANET routing optimization: an overview Artificial Intelligence Review (IF 5.747) Pub Date : 2020-07-06 ,DOI:10.1007/s10462-020-09868-9 Learning heterogeneous information network embeddings via relational triplet network Neurocomputing (IF 4.438) Pub Date : 2020-06-16 ,DOI:10.1016/j.neucom.2020.06.043 Multi-source information fusion based heterogeneous network embedding Information Sciences (IF 5.91) Pub Date : 2020-05-11 ,DOI:10.1016/j.ins.2020.05.012 A heterogeneous branch and multi-level classification network for person re-identification Neurocomputing (IF 4.438) Pub Date : 2020-05-08 ,DOI:10.1016/j.neucom.2020.05.007 BeAware: Convolutional Neural Network(CNN) based User Behavior Understanding through WiFi Channel State Information Neurocomputing (IF 4.438) Pub Date : 2020-04-08 ,DOI:10.1016/j.neucom.2019.09.111 Deep heterogeneous network embedding based on Siamese Neural Networks Neurocomputing (IF 4.438) Pub Date : 2020-01-13 ,DOI:10.1016/j.neucom.2020.01.012 Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network Knowledge-Based Systems (IF 5.921) Pub Date : 2020-01-07 ,DOI:10.1016/j.knosys.2019.105458 Proximity-aware heterogeneous information network embedding Knowledge-Based Systems (IF 5.921) Pub Date : 2020-01-07 ,DOI:10.1016/j.knosys.2019.105468 Data Reconstructing Algorithm in Unreliable Links Based on Matrix Completion for Heterogeneous Wireless Sensor Networks International Journal of Pattern Recognition and Artificial Intelligence (IF 1.375) Pub Date : 2019-12-17 ,DOI:10.1142/s021800141951 Deep learning approach on information diffusion in heterogeneous networks Knowledge-Based Systems (IF 5.921) Pub Date : 2019-10-29 ,DOI:10.1016/j.knosys.2019.105153 I-DEEC: improved DEEC for blanket coverage in heterogeneous wireless sensor networks Journal of Ambient Intelligence and Humanized Computing (IF 4.594) Pub Date : 2019-10-25 ,DOI:10.1007/s12652-019-01552-3 Collaborative linear manifold learning for link prediction in heterogeneous networks Information Sciences (IF 5.91) Pub Date : 2019-09-24 ,DOI:10.1016/j.ins.2019.09.054 Trusted forensics scheme based on digital watermark algorithm in intelligent VANET Neural Computing and Applications (IF 4.774) Pub Date : 2019-05-16 ,DOI:10.1007/s00521-019-04246-1 Resilient consensus with switching networks and heterogeneous agents Neurocomputing (IF 4.438) Pub Date : 2019-03-13 ,DOI:10.1016/j.neucom.2019.03.018 |
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Journal of Intelligent & Fuzzy Systems |
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Píneda Lezama, Omar BonergeVarela Izquierdo, Noelamelec, viloria2021-02-23T19:48:00Z2021-02-23T19:48:00Z2020https://hdl.handle.net/11323/791210.3233/jifs-189151Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/As of late, traffic blockage, street mishaps, and ecological contamination brought about by traffic, alongside the need to associate and utilize constant applications, have become issues of worldwide intrigue. Different on-screen characters, for example, vehicle producers, the scholarly community, and government offices have begun to invest a ton of energy together towards the acknowledgment of the idea of huge scope vehicular interchanges. One of the primary methodologies in this kind of system is the advancement of remote advances and their assorted organizations, concentrating on the association with the Internet through WiFi systems, cell systems, or specially appointed vehicular systems. VANETs are essentially intended to give data trade through Vehicle to Vehicle (V2V) and Vehicle to foundation (V2I) interchanges, permitting ceaseless network and being exceptionally utilized for short-range correspondence, with high transmission speed through which it is proposed that clients keep up an association and distinguish occasions about clog or street conditions. This exploration presents a vehicular situation that tries to acquire a sufficient presentation while executing a heterogeneous network in a few segments of the city of Bogotá, Colombia.Píneda Lezama, Omar BonergeVarela Izquierdo, Noel-will be generated-orcid-0000-0001-7036-4414-600amelec, viloria-will be generated-orcid-0000-0003-2673-6350-600application/pdfengCorporación Universidad de la CostaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Journal of Intelligent & Fuzzy Systemshttps://www.x-mol.com/paper/1294387404837888000CoverageVANETWIFIDSRCHeterogeneousThroughputVanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areasArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionOptimal broadcast scheduling method for VANETs: An adaptive discrete firefly approach Journal of Intelligent & Fuzzy Systems (IF 1.851) Pub Date : 2020-12-04 ,DOI:10.3233/jifs-189134A User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks Computational Intelligence and Neuroscience (IF 2.284) Pub Date : 2020-11-24 ,DOI:10.1155/2020/8828355Paper recommendation based on heterogeneous network embedding Knowledge-Based Systems (IF 5.921) Pub Date : 2020-09-28 ,DOI:10.1016/j.knosys.2020.106438MFRep: Joint user and employer alignment across heterogeneous social networks Neurocomputing (IF 4.438) Pub Date : 2020-07-22 ,DOI:10.1016/j.neucom.2020.07.013Rich heterogeneous information preserving network representation learning Pattern Recognition (IF 7.196) Pub Date : 2020-07-22 ,DOI:10.1016/j.patcog.2020.107564HetNERec: Heterogeneous network embedding based recommendation Knowledge-Based Systems (IF 5.921) Pub Date : 2020-07-07 ,DOI:10.1016/j.knosys.2020.106218Bio-inspired VANET routing optimization: an overview Artificial Intelligence Review (IF 5.747) Pub Date : 2020-07-06 ,DOI:10.1007/s10462-020-09868-9Learning heterogeneous information network embeddings via relational triplet network Neurocomputing (IF 4.438) Pub Date : 2020-06-16 ,DOI:10.1016/j.neucom.2020.06.043Multi-source information fusion based heterogeneous network embedding Information Sciences (IF 5.91) Pub Date : 2020-05-11 ,DOI:10.1016/j.ins.2020.05.012A heterogeneous branch and multi-level classification network for person re-identification Neurocomputing (IF 4.438) Pub Date : 2020-05-08 ,DOI:10.1016/j.neucom.2020.05.007BeAware: Convolutional Neural Network(CNN) based User Behavior Understanding through WiFi Channel State Information Neurocomputing (IF 4.438) Pub Date : 2020-04-08 ,DOI:10.1016/j.neucom.2019.09.111Deep heterogeneous network embedding based on Siamese Neural Networks Neurocomputing (IF 4.438) Pub Date : 2020-01-13 ,DOI:10.1016/j.neucom.2020.01.012Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network Knowledge-Based Systems (IF 5.921) Pub Date : 2020-01-07 ,DOI:10.1016/j.knosys.2019.105458Proximity-aware heterogeneous information network embedding Knowledge-Based Systems (IF 5.921) Pub Date : 2020-01-07 ,DOI:10.1016/j.knosys.2019.105468Data Reconstructing Algorithm in Unreliable Links Based on Matrix Completion for Heterogeneous Wireless Sensor Networks International Journal of Pattern Recognition and Artificial Intelligence (IF 1.375) Pub Date : 2019-12-17 ,DOI:10.1142/s021800141951Deep learning approach on information diffusion in heterogeneous networks Knowledge-Based Systems (IF 5.921) Pub Date : 2019-10-29 ,DOI:10.1016/j.knosys.2019.105153I-DEEC: improved DEEC for blanket coverage in heterogeneous wireless sensor networks Journal of Ambient Intelligence and Humanized Computing (IF 4.594) Pub Date : 2019-10-25 ,DOI:10.1007/s12652-019-01552-3Collaborative linear manifold learning for link prediction in heterogeneous networks Information Sciences (IF 5.91) Pub Date : 2019-09-24 ,DOI:10.1016/j.ins.2019.09.054Trusted forensics scheme based on digital watermark algorithm in intelligent VANET Neural Computing and Applications (IF 4.774) Pub Date : 2019-05-16 ,DOI:10.1007/s00521-019-04246-1Resilient consensus with switching networks and heterogeneous agents Neurocomputing (IF 4.438) Pub Date : 2019-03-13 ,DOI:10.1016/j.neucom.2019.03.018PublicationORIGINALVanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areas.pdfVanet heterogeneous networks with wireless technology variation according to the capacity of users in urban 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