Cargando…
Reinforcement Learning Environment for Advanced Vehicular Ad Hoc Networks Communication Systems
Ad hoc vehicular networks have been identified as a suitable technology for intelligent communication amongst smart city stakeholders as the intelligent transportation system has progressed. However, in a highly mobile area, the growing usage of wireless technologies creates a challenging context. T...
Autores principales: | Teixeira, Lincoln Herbert, Huszák, Árpád |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269236/ https://www.ncbi.nlm.nih.gov/pubmed/35808228 http://dx.doi.org/10.3390/s22134732 |
Ejemplares similares
-
Vehicular ad-hoc networks
por: G, G
Publicado: (2020) -
Vehicular ad hoc network security and privacy
por: Lin, X, et al.
Publicado: (2015) -
Vehicular ad hoc networks: standards, solutions, and research
por: Campolo, Claudia, et al.
Publicado: (2015) -
Review of MAC Protocols for Vehicular Ad Hoc Networks †
por: Ma, Mengyuan, et al.
Publicado: (2020) -
Performance Improvement in Geographic Routing for Vehicular Ad Hoc Networks
por: Kaiwartya, Omprakash, et al.
Publicado: (2014)