A deep reinforcement learning-based intelligent QoS optimization algorithm for efficient routing in vehicular networks

With the rapid development of Telematics, Vehicle Self-Organizing Networks (VANETs) play an increasingly critical role in Intelligent Transportation Systems (ITS). Especially in the environment without roadside assistance units (RSUs), how to effectively manage inter-vehicle communication and improv...

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Bibliographic Details
Main Authors:	Shitong Ye, Lijuan Xu, Zhiming Xu, Feng Wang
Format:	Article
Language:	English
Published:	Elsevier 2024-11-01
Series:	Alexandria Engineering Journal
Subjects:	Vehicular self-organizing networks Deep reinforcement learning RSU-free environment Intelligent QoS optimization Routing algorithms
Online Access:	http://www.sciencedirect.com/science/article/pii/S1110016824007671
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A deep reinforcement learning-based intelligent QoS optimization algorithm for efficient routing in vehicular networks

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