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 …

A Q-learning and fuzzy logic-based hierarchical routing scheme in the intelligent transportation system for smart cities

AM Rahmani, RA Naqvi, E Yousefpoor, MS Yousefpoor… - Mathematics, 2022 - mdpi.com
A vehicular ad hoc network (VANET) is the major element of the intelligent transportation
system (ITS). The purpose of ITS is to increase road safety and manage the movement of …

Deep reinforcement learning-based intelligent security forwarding strategy for VANET

B Liu, G Xu, G Xu, C Wang, P Zuo - Sensors, 2023 - mdpi.com
The vehicular ad hoc network (VANET) constitutes a key technology for realizing intelligent
transportation services. However, VANET is characterized by diverse message types …

Enhance security and privacy in VANET based sensor monitoring and emergency services

RM Rajeswari, S Rajesh - Cybernetics and Systems, 2024 - Taylor & Francis
VANET performs analysis of patient records and sends security warnings to the carer
through VANET so that they may provide urgent assistance while keeping patient data safe …

[HTML][HTML] A Q-learning-based smart clustering routing method in flying Ad Hoc networks

M Hosseinzadeh, J Tanveer, AM Rahmani… - Journal of King Saud …, 2024 - Elsevier
Flying ad hoc networks (FANETs) have particular importance in various military and civilian
applications due to their specific features, including frequent topological changes, the …

[HTML][HTML] An energy-aware routing scheme based on a virtual relay tunnel in flying ad hoc networks

M Hosseinzadeh, S Ali, AH Mohammed… - Alexandria Engineering …, 2024 - Elsevier
Flying ad hoc networks (FANETs) tackle diverse challenges, for example, dynamic
topological structure, high mobility of nodes, low density, and energy restrictions. These …

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 …

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

Y Jiang, J Zhu, K Yang - Sensors, 2023 - mdpi.com
With the rapid development of the intelligent transportation system (ITS), routing in vehicular
ad hoc networks (VANETs) has become a popular research topic. The high mobility of …

MVR Delay: A Queueing Based Routing Model for C‐V2X Mode 4 in VANET's

M Kabbur, MV Murthy - Journal of Electrical and Computer …, 2024 - Wiley Online Library
During the last few years, the demand for vehicular ad‐hoc networks (VANET) has gained
great attraction in the intelligent transport system. The VANET architecture includes several …

Hierarchical Optimization Based on Deep Reinforcement Learning for Connected Fuel Cell Hybrid Vehicles through Signalized Intersections

H Dong, L Zhao, H Zhou, H Li - Processes, 2023 - mdpi.com
With the advantages of non-pollution and energy-saving, hydrogen fuel cell hybrid vehicles
(HFCHVs) are regarded as one of the potential traveling ways in the future. The energy …