2026-04-13T02:18:33Zhttps://recercat.cat/oai/request

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

00925njm 22002777a 4500 dc Lemus Cárdenas, Leticia author Mezher, Ahmad Mohamad author Aguilar Igartua, Mónica author 2021-10-18 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 Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Artificial neural network Vehicular networks Multimetric routing protocol Dataset 5Routingmetrics VANET BCN