Congestion Aware Genetic Q-learning Based RPL Routing Protocol for Vehicle Ad-Hoc Networks

SA Rashid, MI Habelalmateen… - … Technology and its …, 2022 - ieeexplore.ieee.org
Vehicular Ad-Hoc Network (VANET) is the one among the prominent research area. On
behalf of its eminent behaviour link dynamically varying topology, huge mobility, irregular …

RI-RPL: a new high-quality RPL-based routing protocol using Q-learning algorithm

N Zahedy, B Barekatain, AA Quintana - The Journal of Supercomputing, 2024 - Springer
The lack of a central controller, severe resource constraints, and multi-path data routing
have turned data exchanges into one of the fundamental challenges of the Internet of …

[引用][C] & Audah, L.(2022, May). Congestion Aware Genetic Q-learning Based RPL Routing Protocol for Vehicle Ad-Hoc Networks

SA Rashid, MI Habelalmateen, AJ Ahmed, AH Abbas… - 2022 5th International Conference …

An Improvised Location Aided Routing Protocol for Vehicular Ad-hoc Network using Reinforced Learning

A Kumar, P Dixit, SS Tyagi - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Vehicular Ad-hoc Networks (VANETs) are dynamic networks formed among the vehicles
travelling on road. They are prone to change in network topologies very quickly due to …

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 …

Congestion Aware Q-Learning (CAQL) in RPL Protocol–WSN based IoT Networks

AJ Ahmed, AH Abbas, SA Rashid… - … Technology and its …, 2022 - ieeexplore.ieee.org
In an Internet of Things (IoT) based real network scenario, the miscellaneous sensor
applications are present which produce a heterogeneous traffic prototype. RPL (Routing …

An Integrated DQN and RF Packet Routing Framework for the V2X Network

CE Yen, YS Jhang, YH Hsieh, YC Chen, C Kuo… - Electronics, 2024 - mdpi.com
With the development of artificial intelligence technology, deep reinforcement learning
(DRL) has become a major approach to the design of intelligent vehicle-to-everything (V2X) …

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 …

Reinforcement learning based mobility adaptive routing for vehicular ad-hoc networks

J Wu, M Fang, X Li - Wireless Personal Communications, 2018 - Springer
Vehicular ad-hoc networks (VANETs) is drawing more and more attentions in intelligent
transportation system to reduce road accidents and assist safe driving. However, due to the …

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 …