Mobility prediction in vehicular networks: an approach through hybrid neural networks under uncertainty

S Banerjee, S Bouzefrane, P Mühlethaler - Mobile, Secure, and …, 2017 - Springer
Conventionally, the exposure regarding knowledge of the inter vehicle link duration is a
significant parameter in Vehicular Networks to estimate the delay during the failure of a …

A comprehensive review on the vehicular ad-hoc networks

TK Bhatia, RK Ramachandran… - 2020 8th International …, 2020 - ieeexplore.ieee.org
From the last several years, there has been a striking concern as well as development in the
domain of vehicular ad-hoc networks. It involves many communications such as V2V, V2I …

Vehicle selection and resource allocation for federated learning-assisted vehicular network

X Zhang, Z Chang, T Hu, W Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To exploit the massive amounts of onboard data in vehicular networks while protecting data
privacy and security, federated learning (FL) is regarded as a promising technology to …

CRAS-FL: Clustered resource-aware scheme for federated learning in vehicular networks

S AbdulRahman, O Bouachir, S Otoum… - Vehicular …, 2024 - Elsevier
As a promising distributed learning paradigm, Federated Learning (FL) is expected to meet
the ever-increasing needs of Machine Learning (ML) based applications in Intelligent …

An Efficient Incentive Mechanism for Federated Learning in Vehicular Networks

C Qiao, Y Zeng, H Lu, Y Liu, Z Tian - IEEE Network, 2023 - ieeexplore.ieee.org
As a novel machine learning technique, the promising performance of Federated Learning
(FL) paradigms has been well recognized. However, the incentive issue for this framework is …

Connected vehicles make transportation faster, safer, smarter, and greener!

Y Fang - IEEE Transactions on Vehicular Technology, 2015 - ieeexplore.ieee.org
SINCE the US Department of Transportation issued a mandate for car makers to enable
connected vehicle (CV) technology for a safe driving experience in 2012, tremendous …

[PDF][PDF] A survey on multiagent reinforcement learning applications in the internet of vehicles

EM Mianji, M Fardad, GM Muntean… - 2024 IEEE 99th Vehicular …, 2024 - researchgate.net
The development of the Internet of Vehicles (IoV) and autonomous vehicles plays a
significant role in intelligent transportation systems (ITS) that are empowered by vehicular …