An intersection-based qos routing for vehicular ad hoc networks with reinforcement learning

L Rui, Z Yan, Z Tan, Z Gao, Y Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
network. Aiming at solving the above problems, this paper designs an intersection-based
QoS routing (… , this paper uses an improved intersectionbased routing protocol. In addition to …

Reinforcement learning-based routing protocols for vehicular ad hoc networks: A comparative survey

RA Nazib, S Moh - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) are among the most investigated topics in the field
of mobile ad hoc networks (MANETs). In VANETs, vehicles transmit information in a multihop …

Routing using reinforcement learning in vehicular ad hoc networks

M Saravanan, P Ganeshkumar - Computational Intelligence, 2020 - Wiley Online Library
… density and assist VANETs in route selection in an automated way with increased accuracy.
In this article, a novel machine learning architecture using deep reinforcement learning (DRL…

Hierarchical routing for vehicular ad hoc networks via reinforcement learning

F Li, X Song, H Chen, X Li… - … Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Vehicular ad hoc network is a collection of vehicles and associated road-side infrastructure,
which is able to provide mobile wireless communication services. This highly dynamic …

Reinforcement learning-based routing protocols in vehicular ad hoc networks for intelligent transport system (its): A survey

J Lansky, AM Rahmani, M Hosseinzadeh - Mathematics, 2022 - mdpi.com
reinforcement learning and its characteristics and study how to use this technique for creating
routing protocols in VANETs… approach tries to choose the most suitable intersection-based

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
… ABSTRACT In urban vehicular ad hoc networks (VANETs), … to routing protocols and has
a great impact on networkintersection-based QoS routing in vehicular ad hoc networks,’…

Environment-Aware Adaptive Reinforcement Learning-Based Routing for Vehicular Ad Hoc Networks

Y Jiang, J Zhu, K Yang - Sensors, 2023 - mdpi.com
… –exploitation dilemma in reinforcement learning refers to the … -aware reinforcement
learning-based routing Protocol in this … Intersection-based connectivity aware routing in vehicular

Reinforcement Learning-Based Routing Protocols in Vehicular and Flying Ad Hoc Networks–A Literature Survey

P Bugarčić, N Jevtić, M Malnar - Promet-Traffic&Transportation, 2022 - hrcak.srce.hr
… One way to overcome this problem is to use machine learning (ML) in the routing process, …
A model based reinforcement learning protocol for routing in vehicular ad hoc network. …

A machine learning system for routing decision-making in urban vehicular ad hoc networks

WK Lai, MT Lin, YH Yang - … of Distributed Sensor Networks, 2015 - journals.sagepub.com
routing information system called the machine learning-assisted route selection (MARS)
system to estimate necessary information for routing … with the help of machine learning. We use …

A reinforcement learning framework for vehicular network routing under peak and average constraints

N Geng, Q Bai, C Liu, T Lan, V Aggarwal… - … on Vehicular …, 2023 - ieeexplore.ieee.org
… of routing protocols for vehicular ad hoc networks (VANETs) … as a software defined network,”
IEEE/ACM TON, vol. 24, no. 3… Intersection-based geographical routing protocol for VANETs