Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks (2022)
- Authors:
- Autor USP: MENEGUETTE, RODOLFO IPOLITO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.comnet.2022.108955
- Subjects: SISTEMAS INTELIGENTES DE TRANSPORTES; SISTEMAS DE CONTROLE DE TRÁFEGO; PROTOCOLOS DE COMUNICAÇÃO; VEÍCULOS
- Keywords: Vehicular Networks; V2V Communication
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Computer Networks
- ISSN: 1389-1286
- Volume/Número/Paginação/Ano: v. 211, p. 1-14, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GOMIDES, Thiago da Silva et al. Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks. Computer Networks, v. 211, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.comnet.2022.108955. Acesso em: 16 jan. 2026. -
APA
Gomides, T. da S., Grande, R. E. D., Meneguette, R. I., Souza, F. S. H. de, & Guidoni, D. L. (2022). Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks. Computer Networks, 211, 1-14. doi:10.1016/j.comnet.2022.108955 -
NLM
Gomides T da S, Grande RED, Meneguette RI, Souza FSH de, Guidoni DL. Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks [Internet]. Computer Networks. 2022 ; 211 1-14.[citado 2026 jan. 16 ] Available from: https://doi.org/10.1016/j.comnet.2022.108955 -
Vancouver
Gomides T da S, Grande RED, Meneguette RI, Souza FSH de, Guidoni DL. Predictive congestion control based on collaborative information sharing for vehicular ad hoc networks [Internet]. Computer Networks. 2022 ; 211 1-14.[citado 2026 jan. 16 ] Available from: https://doi.org/10.1016/j.comnet.2022.108955 - Resource allocation technique for edge computing using Grey Wolf optimization algorithm
- A framework to develop a cost-effective charging policy for electric vehicles
- Alocação de tarefas em nuvens veiculares utilizando jogos de mercado
- Software defined networks: challenges for SDN as an infrastructure for intelligent transport systems based on vehicular networks
- HARMONIC: Shapley values in market games for resource allocation in vehicular clouds
- Machine learning for detection of distributed Denial-of-Service attacks from queries executed in DBMS
- Predicting bull and bear markets: a deep learning and linear regression study in cryptocurrencies
- Lightweight malware classification with FORTUNATE: precision meets computational efficiency
- Strategies for locating electric vehicle charging stations in smart cities
- FORTUNATE: Decrypting and classifying malware by variable length instruction sequences
Informações sobre o DOI: 10.1016/j.comnet.2022.108955 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3074261.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
