Routing using reinforcement learning in vehicular ad hoc networks

M Saravanan, P Ganeshkumar - Computational Intelligence, 2020 - Wiley Online Library
In vehicular ad hoc networks (VANETs), the frequent change in vehicle mobility creates
dynamic changes in communication link and topology of the network. Hence, the key …

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) hold great importance because of their potentials in
road safety improvement, traffic monitoring, and in-vehicle infotainment services. Due to high …

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
Today, the use of safety solutions in Intelligent Transportation Systems (ITS) is a serious
challenge because of novel progress in wireless technologies and the high number of road …

An improved deep reinforcement learning routing technique for collision-free VANET

P Upadhyay, V Marriboina, SJ Goyal, S Kumar… - Scientific Reports, 2023 - nature.com
Abstract Vehicular Adhoc Networks (VANETs) is an emerging field that employs a wireless
local area network (WLAN) characterized by an ad-hoc topology. Vehicular Ad Hoc …

Investigating routing in the vanet network: Review and classification of approaches

AK Sangaiah, A Javadpour, CC Hsu, A Haldorai… - Algorithms, 2023 - mdpi.com
Vehicular Ad Hoc Network (VANETs) need methods to control traffic caused by a high
volume of traffic during day and night, the interaction of vehicles, and pedestrians, vehicle …

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

WK Lai, MT Lin, YH Yang - International Journal of …, 2015 - journals.sagepub.com
In vehicular ad hoc networks (VANETs), network topology and communication links
frequently change due to the high mobility of vehicles. Key challenges include how to …

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 model-based reinforcement learning protocol for routing in vehicular Ad hoc network

O Jafarzadeh, M Dehghan, H Sargolzaey… - Wireless Personal …, 2022 - Springer
Todays by equipping vehicles with wireless technologies, Vehicular Ad Hoc Network
(VANET) has been emerged. This type of network can be utilized in many fields such as …

Distributed reinforcement learning approach for vehicular ad hoc networks

C Wu, K Kumekawa, T Kato - IEICE transactions on …, 2010 - search.ieice.org
In Vehicular Ad hoc Networks (VANETs), general purpose ad hoc routing protocols such as
AODV cannot work efficiently due to the frequent changes in network topology caused by …

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 …