[HTML][HTML] 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 …
volume of traffic during day and night, the interaction of vehicles, and pedestrians, vehicle …
Learning for Adaptive Multi-Copy Relaying in Vehicular Delay Tolerant Network
H Lin, J Qian, B Di - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Multi-copy routing is a way that creates and forwards copies to the nodes without the copies
so that increases the message delivery probability in the Vehicular Delay Tolerant Network …
so that increases the message delivery probability in the Vehicular Delay Tolerant Network …
Reinforcement Learning-Based Routing Protocols in Vehicular and Flying Ad Hoc Networks–A Literature Survey
Sažetak Vehicular and flying ad hoc networks (VANETs and FANETs) are becoming
increasingly important with the development of smart cities and intelligent transporta-tion …
increasingly important with the development of smart cities and intelligent transporta-tion …
An intelligent Hybrid‐Q Learning clustering approach and resource management within heterogeneous cluster networks based on reinforcement learning
Recently, heterogeneous cluster networks (HCNs) have been the subject of significant
research. The nature of the next‐generation HCN environment is decentralized and highly …
research. The nature of the next‐generation HCN environment is decentralized and highly …
Hierarchical Reinforcement Learning-Based Routing Algorithm With Grouped RSU in Urban VANETs
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 …
techniques for vehicular ad hoc networks (VANETs) in both academic and industrial …
RHRA-DRL: RSU-Assisted Hybrid Road-Aware Routing Using Distributed Reinforcement Learning in Internet of Vehicles
In this paper, we propose a novel RSU-assisted hybrid road-aware routing algorithm, RHRA-
DRL, designed for urban vehicular networks to optimize real-time data delivery considering …
DRL, designed for urban vehicular networks to optimize real-time data delivery considering …
Learning an Adaptive Forwarding Strategy for Mobile Wireless Networks: Resource Usage vs. Latency
Designing effective routing strategies for mobile wireless networks is challenging due to the
need to seamlessly adapt routing behavior to spatially diverse and temporally changing …
need to seamlessly adapt routing behavior to spatially diverse and temporally changing …
[HTML][HTML] A Multi-Agent Deep Reinforcement Learning-Based Popular Content Distribution Scheme in Vehicular Networks
W Chen, X Huang, Q Guan, S Zhao - Entropy, 2023 - mdpi.com
The Internet of Vehicles (IoV) enables vehicular data services and applications through
vehicle-to-everything (V2X) communications. One of the key services provided by IoV is …
vehicle-to-everything (V2X) communications. One of the key services provided by IoV is …
Grouped Intersection-based Routing using Reinforcement Learning for Urban VANETs
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 …
(VANETs) has gained a great amount of attention in the past few years in academic and …
A Recent Reinforcement Learning Trend for Vehicular Ad Hoc Networks Routing
Vehicular ad hoc networks (VANETs) are one of the most essential parts of intelligent
transportation system (ITS). VANETs fulfill a crucial role in continuous traffic monitoring …
transportation system (ITS). VANETs fulfill a crucial role in continuous traffic monitoring …