2026-04-13T05:46:41Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/3537742025-02-04T03:07:18Zcom_2072_1033col_2072_452950

urn:hdl:2117/353774 Dataset 5Routingmetrics VANET BCN Lemus Cárdenas, Leticia Mezher, Ahmad Mohamad Aguilar Igartua, Mónica Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Artificial neural network Vehicular networks Multimetric routing protocol We have created a representative dataset based on the collection of different traffic metrics from VANET simulations in urban scenarios. The five collected metrics that compose the dataset used to train and test our ML-based forwarding algorithm are available bandwidth, distance to destination, vehicles’ density, MAC layer losses, and vehicle’s trajectory. Notice that those metrics are gathered by the vehicles from the beacons periodically interchanged with the vehicles in their neighborhood (i.e., with vehicles within their transmission range). This way, nodes have local knowledge of the VANET, according to the decentralized nature inherent in VANETs. 1 2021-10-18 Dataset http://hdl.handle.net/2117/353085 info:eu-repo/grantAgreement/MICINN/1PE/TEC2017-84197-C4-3-R info:eu-repo/grantAgreement/MINECO//TEC2014-54335-C4-1-R/ES/MONITORIZACION DE INCIDENTES EN COMUNIDADES INTELIGENTES/ https://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/4.0/ Open Access east=2.1651747686218092; north=41.39796532549935; name=Avinguda Diagonal, 412, 08037 Barcelona, Espanya Universitat Politècnica de Catalunya