Leveraging cloud intelligence for hybrid vehicular communications

T Higuchi, O Altintas - 2017 IEEE 20th International Conference …, 2017 - ieeexplore.ieee.org
Vehicular networks are required to meet strict performance criteria to reliably support safety-
critical applications at scale. However, wireless communication technologies that are …

Edge-based V2X communications with big data intelligence

S Guleng, C Wu, Z Liu, X Chen - IEEE Access, 2020 - ieeexplore.ieee.org
Vehicular Internet-of-Things applications require an efficient Vehicle-to-Everything (V2X)
communication scheme. However, it is particularly challenging to achieve a high throughput …

Routing algorithms for heterogeneous vehicular networks

Y Tang, W Wu - … , Computing, and Control for Ubiquitous Intelligence, 2022 - Springer
With the ever-increasing demand for ubiquitous communications from vehicles, there is an
increasing request for Internet of Vehicles (IoV). IoV has been envisioned as an enabling …

[PDF][PDF] Time-controlled Neighborhood-driven Policy-based Network Selection Algorithm for Message Dissemination in Hybrid Vehicular Networks.

O Oleinichenko, Y Sevilmis, K Roscher, J Jiru - VEHITS, 2018 - pdfs.semanticscholar.org
In vehicular ad hoc networks (VANETs), successful delivery of GeoUnicast and
GeoBroadcast packets depends on scenario-specific aspects like vehicle density …

A data traffic steering algorithm for IEEE 802.11 p/LTE hybrid vehicular networks

N Dreyer, A Moller, ZH Mir, F Filali… - 2016 IEEE 84th …, 2016 - ieeexplore.ieee.org
Reliable vehicular communication is considered an important precondition for future
intelligent transportation systems (ITSs). Recently, a combination of ad-hoc direct …

Dynamic mode selection and resource allocation approach for 5G-vehicle-to-everything (V2X) communication using asynchronous federated deep reinforcement …

I Rasheed - Vehicular Communications, 2022 - Elsevier
Abstract 5G vehicle-to-everything (V2X) connectivity is crucial to enable future complex
vehicular networking environment for enabling intelligent transportation systems (ITS). But …

[HTML][HTML] Machine learning in vehicular networking: An overview

K Tan, D Bremner, J Le Kernec, L Zhang… - Digital Communications …, 2022 - Elsevier
As vehicle complexity and road congestion increase, combined with the emergence of
electric vehicles, the need for intelligent transportation systems to improve on-road safety …

Multi-Agent Proximal Policy Optimization-Based Dynamic Client Selection for Federated AI in 6G-Oriented Internet of Vehicles

T Yu, X Wang, J Hu, J Yang - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
In the era of 5G-Advanced and 6 G, decentralized machine learning algorithms, particular
federated learning (FL), has become a critical enabling technology for future Internet of …

[PDF][PDF] Gateway selection architecture using multiple metrics for vehicular networking

J Thaenthong, S Gordon - Inf. Technol. J, 2012 - sandilands.info
Multi-hop wireless networks formed between vehicles on a highway can provide Internet
access to devices onboard vehicles if subsets of vehicles also share 3G/4G wireless …

A QoS architecture for provisioning high quality in intelligent transportation services

H Alshaer, T Ernst… - 2012 IEEE Network …, 2012 - ieeexplore.ieee.org
A multi-homed vehicular mobile network uses different wireless and radio communication
technologies to reach the Internet through multiple routing paths. Because of network …