Reinforcement learning based routing in networks: Review and classification of approaches

Z Mammeri - Ieee Access, 2019 - ieeexplore.ieee.org
… present networks are (very) dynamic in nature. For example, in vehicular and ad hoc networks,
… [61] proposed a Q-learning-based routing protocol for MANETs for optimizing multiple (…

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
… information for the routing protocol in a VANET. In our method, we use machine learning to
predict the movement behavior of vehicles and the transmission capacity of routing paths. We …

Futuristic analysis of machine learning based routing protocols in wireless ad hoc networks

S Kaushik, K Tripathi, R Gupta… - … intelligence and …, 2021 - ieeexplore.ieee.org
… The prediction of data in networN routing protocols have been studied in various … on routing
protocols of ad hoc networNs and the modified and proposed algorithms based on machine

Comprehensive survey of machine learning approaches in cognitive radio-based vehicular ad hoc networks

MA Hossain, RM Noor, KLA Yau, SR Azzuhri… - IEEE …, 2020 - ieeexplore.ieee.org
… examples of manifold learning based on nonlinear projection methods. … spectrum access
in CRN and routing protocol of VANET. … VANET emerged from the motivation of the intelligent

Introducing intelligence in vehicular ad hoc networks using machine learning algorithms

I Seth, K Guleria, SN Panda - ECS Transactions, 2022 - iopscience.iop.org
… The presented work discusses the most relevant VANETs routing protocol using machine
/static VANETs (36). 4. High Energy and Computing Requirements: Machine Learning-based

A novel deep reinforcement learning based relay selection for broadcasting in vehicular ad hoc networks

A Mchergui, T Moulahi - IEEE Access, 2021 - ieeexplore.ieee.org
… In fact, to achieve this task, artificial intelligence and learning based computing seem … routing
protocol for vehicular ad hoc networks. International Journal of Distributed Sensor Networks

Reinforcement learning environment for advanced vehicular ad hoc networks communication systems

LH Teixeira, Á Huszák - Sensors, 2022 - mdpi.com
… have been identified as a suitable technology for intelligent communication amongst smart
routing protocols widely used in ad-hoc networks, DSR and DSDV. These protocols were …

Routing in vehicular ad hoc networks using the proposed reinforcement learning method

F Aeini, H Sadati - Journal of Advances in Computer Research, 2022 - jacr.sari.iau.ir
learning-based routing approaches. In Section 3, we describe the proposed routing protocol.
intelligence and machine learning techniques, which we have also moved in this direction. …

RF-CVN: Recurrent Reinforcement Learning Framework for Cognitive Vehicular Ad-Hoc Networks Routing

A Nahar, D Das, R Yadav, K Khujamatov… - … and Networking …, 2024 - ieeexplore.ieee.org
… of an intelligent, dynamic packet routing and spectrum sensing … , “A deep reinforcement
learning-based qos routing protocol … mobile ad hoc networks,” IEEE Transactions on Vehicular

QGrid: Q-learning based routing protocol for vehicular ad hoc networks

R Li, F Li, X Li, Y Wang - 2014 IEEE 33rd international …, 2014 - ieeexplore.ieee.org
… mobile wireless network containing a set of smart vehicles which … ad hoc network, VANET
has its unique characteristics which pose new challenges in the design of networking protocols