DataSet 5RoutingMetrics VANET BCN
Cita com:
hdl:2117/353774
Chair / Department / Institute
Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica
Document typeDataset
Defense date2021-10-18
PublisherUniversitat Politècnica de Catalunya
Version1
Rights accessOpen Access
Except where otherwise noted, content on this work
is licensed under a Creative Commons license
:
International
Related publicationsLemus, L. [et al.]. A multimetric predictive ANN-based routing protocol for vehicular ad hoc networks. "IEEE access", 11 Juny 2021, vol. 9, p. 86037-86053.
http://hdl.handle.net/2117/353085
Description
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.
CitationLemus Cárdenas, L.; Mezher, A.M.; Aguilar Igartua, M. (2021). DataSet 5RoutingMetrics VANET BCN [Dataset]. 1 v. Universitat Politècnica de Catalunya. https://doi.org/10.5821/data-2117-353774-1
Files | Description | Size | Format | View |
---|---|---|---|---|
DataSet 5RoutingMetrics VANET BCN.xlsx | DataSet 5RoutingMetrics VANET BCN | 226,4Kb | Microsoft Excel 2007 | View/Open |
Readme DataSet 5RoutingMetrics VANET BCN.txt | 9,236Kb | Text file | View/Open |