Show simple item record

dc.creatorPíneda Lezama, Omar Bonerge
dc.creatorVarela Izquierdo, Noel
dc.creatoramelec, viloria
dc.description.abstractAs 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,
dc.publisherCorporación Universidad de la Costaspa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.sourceJournal of Intelligent & Fuzzy Systemsspa
dc.titleVanet heterogeneous networks with wireless technology variation according to the capacity of users in urban areasspa
dcterms.referencesOptimal 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-189134spa
dcterms.referencesA User-Oriented Intelligent Access Selection Algorithm in Heterogeneous Wireless Networks Computational Intelligence and Neuroscience (IF 2.284) Pub Date : 2020-11-24 ,DOI:10.1155/2020/8828355spa
dcterms.referencesPaper recommendation based on heterogeneous network embedding Knowledge-Based Systems (IF 5.921) Pub Date : 2020-09-28 ,DOI:10.1016/j.knosys.2020.106438spa
dcterms.referencesMFRep: Joint user and employer alignment across heterogeneous social networks Neurocomputing (IF 4.438) Pub Date : 2020-07-22 ,DOI:10.1016/j.neucom.2020.07.013spa
dcterms.referencesRich heterogeneous information preserving network representation learning Pattern Recognition (IF 7.196) Pub Date : 2020-07-22 ,DOI:10.1016/j.patcog.2020.107564spa
dcterms.referencesHetNERec: Heterogeneous network embedding based recommendation Knowledge-Based Systems (IF 5.921) Pub Date : 2020-07-07 ,DOI:10.1016/j.knosys.2020.106218spa
dcterms.referencesBio-inspired VANET routing optimization: an overview Artificial Intelligence Review (IF 5.747) Pub Date : 2020-07-06 ,DOI:10.1007/s10462-020-09868-9spa
dcterms.referencesLearning heterogeneous information network embeddings via relational triplet network Neurocomputing (IF 4.438) Pub Date : 2020-06-16 ,DOI:10.1016/j.neucom.2020.06.043spa
dcterms.referencesMulti-source information fusion based heterogeneous network embedding Information Sciences (IF 5.91) Pub Date : 2020-05-11 ,DOI:10.1016/j.ins.2020.05.012spa
dcterms.referencesA 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.2020.05.007spa
dcterms.referencesBeAware: 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.2019.09.111spa
dcterms.referencesDeep heterogeneous network embedding based on Siamese Neural Networks Neurocomputing (IF 4.438) Pub Date : 2020-01-13 ,DOI:10.1016/j.neucom.2020.01.012spa
dcterms.referencesCross 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.2019.105458spa
dcterms.referencesProximity-aware heterogeneous information network embedding Knowledge-Based Systems (IF 5.921) Pub Date : 2020-01-07 ,DOI:10.1016/j.knosys.2019.105468spa
dcterms.referencesData 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/s021800141951spa
dcterms.referencesDeep learning approach on information diffusion in heterogeneous networks Knowledge-Based Systems (IF 5.921) Pub Date : 2019-10-29 ,DOI:10.1016/j.knosys.2019.105153spa
dcterms.referencesI-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/s12652-019-01552-3spa
dcterms.referencesCollaborative linear manifold learning for link prediction in heterogeneous networks Information Sciences (IF 5.91) Pub Date : 2019-09-24 ,DOI:10.1016/j.ins.2019.09.054spa
dcterms.referencesTrusted 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/s00521-019-04246-1spa
dcterms.referencesResilient consensus with switching networks and heterogeneous agents Neurocomputing (IF 4.438) Pub Date : 2019-03-13 ,DOI:10.1016/j.neucom.2019.03.018spa

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 International