Hierarchical Reinforcement Learning-Based Routing Algorithm With Grouped RSU in Urban VANETs

Q Yang, SJ Yoo - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
The rapid growth of the Internet of Vehicles (IoV) has generated significant interest in routing
techniques for vehicular ad hoc networks (VANETs) in both academic and industrial …

RSU-assisted traffic-aware routing based on reinforcement learning for urban vanets

J Wu, M Fang, H Li, X Li - IEEE Access, 2020 - ieeexplore.ieee.org
In urban vehicular ad hoc networks (VANETs), the high mobility of vehicles along street
roads poses daunting challenges to routing protocols and has a great impact on network …

Intersection-based V2X routing via reinforcement learning in vehicular ad hoc networks

L Luo, L Sheng, H Yu, G Sun - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet of vehicles (IoV), routing in vehicular ad hoc
networks (VANETs) has become a popular research topic. Due to the features of the …

Grouped Intersection-based Routing using Reinforcement Learning for Urban VANETs

Q Yang, SJ Yoo - 2022 13th International Conference on …, 2022 - ieeexplore.ieee.org
Under the rapid upgrowth of internet of vehicles (IoV), routing in vehicular ad-hoc networks
(VANETs) has gained a great amount of attention in the past few years in academic and …

An intersection-based routing scheme using q-learning in vehicular ad hoc networks for traffic management in the intelligent transportation system

MU Khan, M Hosseinzadeh, A Mosavi - Mathematics, 2022 - mdpi.com
Vehicular ad hoc networks (VANETs) create an advanced framework to support the
intelligent transportation system and increase road safety by managing traffic flow and …

A Software-Defined Directional Q-Learning Grid-Based Routing Platform and Its Two-Hop Trajectory-Based Routing Algorithm for Vehicular Ad Hoc Networks

CP Yang, CE Yen, IC Chang - Sensors, 2022 - mdpi.com
Dealing with the packet-routing problem is challenging in the V2X (Vehicle-to-Everything)
network environment, where it suffers from the high mobility of vehicles and varied vehicle …

[HTML][HTML] Reinforcement learning based on routing with infrastructure nodes for data dissemination in vehicular networks (RRIN)

A Lolai, X Wang, A Hawbani, FA Dharejo, T Qureshi… - Wireless …, 2022 - Springer
Abstract Vehicular-Ad hoc Networks are extremely important due to the potential for
improving road safety, traffic monitoring, and in-vehicle infotainment services. A novel Q …

RHRA-DRL: RSU-Assisted Hybrid Road-Aware Routing Using Distributed Reinforcement Learning in Internet of Vehicles

JH Park, Q Yang, SJ Yoo - IEEE Access, 2024 - ieeexplore.ieee.org
In this paper, we propose a novel RSU-assisted hybrid road-aware routing algorithm, RHRA-
DRL, designed for urban vehicular networks to optimize real-time data delivery considering …

A reinforcement learning-based routing protocol in VANETs

Y Sun, Y Lin, Y Tang - International Conference in Communications …, 2017 - Springer
Vehicular ad hoc networks serves as an important enabling technology for assistant driving
and intelligent transportation, it has aroused wide concern since it was proposed. However …

Flexible, portable, and practicable solution for routing in VANETs: A fuzzy constraint Q-learning approach

C Wu, S Ohzahata, T Kato - IEEE Transactions on Vehicular …, 2013 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) have been attracting interest for their potential uses in
driving assistance, traffic monitoring, and entertainment systems. However, due to vehicle …