Approximate reinforcement learning to control beaconing congestion in distributed networks

In vehicular communications, the increase of the channel load caused by excessive periodical messages (beacons) is an important aspect which must be controlled to ensure the appropriate operation of safety applications and driver-assistance systems. To date, the majority of congestion control soluti...

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Detalles Bibliográficos
Autores principales: Aznar-Poveda, J., García-Sánchez, A.-J., Egea-López, E., García-Haro, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741791/
https://www.ncbi.nlm.nih.gov/pubmed/34997101
http://dx.doi.org/10.1038/s41598-021-04123-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741791/
https://www.ncbi.nlm.nih.gov/pubmed/34997101
http://dx.doi.org/10.1038/s41598-021-04123-9

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