A Q-Learning-Based Topology-Aware Routing Protocol for Flying Ad Hoc Networks

MY Arafat, S Moh - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
… In this article, we propose a Q-learning-based topologyaware routing (QTAR) protocol to …
ad hoc networks (MANETs) and vehicular ad hoc networks (VANETs). As a result, existing …

A deep reinforcement learning-based trust management scheme for software-defined vehicular networks

D Zhang, FR Yu, R Yang, H Tang - … of intelligent vehicular networks and …, 2018 - dl.acm.org
Vehicular ad hoc networks (VANETs) have become a promising technology in intelligent
VANETs are vulnerable to malicious nodes and result in performance degradation because …

[HTML][HTML] An energy-efficient distributed adaptive cooperative routing based on reinforcement learning in wireless multimedia sensor networks

D Wang, J Liu, D Yao, I Member - Computer Networks, 2020 - Elsevier
… Particularly, we design a reinforcement learning based … and node level, thus enabling
intelligent behaviors and … The proposed algorithm is an energy and QoS aware routing protocol for

Reinforcement learning-based fuzzy geocast routing protocol for opportunistic networks

K Khalid, I Woungang, SK Dhurandher, J Singh - Internet of Things, 2021 - Elsevier
… [13] proposed a Q-Learning routing protocol for vehicular ad hoc networks, which is meant
to improve the message transfer delivery ratio. In this scheme, the network geographical …

Adaptive reinforcement routing in software defined vehicular networks

A Nahar, D Das - 2020 International Wireless Communications …, 2020 - ieeexplore.ieee.org
… existing routing protocols used in this research. Index Terms—… and reinforcement
learning-based routing. To overcome the … dynamic clustering in vehicular ad-hoc networks

A Recent Reinforcement Learning Trend for Vehicular Ad Hoc Networks Routing

W Kim, J Min, Y Son, J Paek - 2023 14th International …, 2023 - ieeexplore.ieee.org
… —Vehicular ad hoc networks (VANETs) are one of the most essential parts of intelligent
We present the result of surveyes in the latest works of RL-based VANET routing protocols, both …

Clustering and reinforcement-learning-based routing for cognitive radio networks

Y Saleem, KLA Yau, H Mohamad… - IEEE Wireless …, 2017 - ieeexplore.ieee.org
… We present SMART, which is a cluster-based routing scheme … Routing protocols for traditional
wireless networks that … , ad hoc on-demand distance vector (AODV) routing protocol, are …

An efficient reinforcement learning based charging data delivery scheme in VANET-enhanced smart grid

G Li, C Gong, L Zhao, J Wu… - … on big data and smart …, 2020 - ieeexplore.ieee.org
… (MEC) and hybrid vehicular ad hoc networks (VANETs), an ef… an effective reinforcement
learning based routing algorithm is … self-adaptive routing protocol for vehicular ad hoc network,” …

Hierarchical Reinforcement Learning-Based Routing Algorithm With Grouped RSU in Urban VANETs

Q Yang, SJ Yoo - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
… Q-learning-based routing algorithm with grouped roadside unit (RSU) for VANETs. RSUs are
… greedy traffic aware routing protocol for vehicular ad hoc networks in city environments,” in …

Adaptive routing in wireless mesh networks using hybrid reinforcement learning algorithm

S Mahajan, R Harikrishnan, K Kotecha - IEEE Access, 2022 - ieeexplore.ieee.org
… as an ad hoc routing protocol, is necessary for mobile ad hoc … This paper presents a
QoS-assured intelligent routing … and latest Reinforcement Learning-based routing algorithms’ im…