A Novel Deep Reinforcement Learning Based Relay Selection for Broadcasting in Vehicular Ad Hoc Networks

Author:

Mchergui AbirORCID,Moulahi TarekORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Delay-Oriented Knowledge-Driven Resource Allocation in SAGIN-Based Vehicular Networks;2023 IEEE Wireless Communications and Networking Conference (WCNC);2023-03

2. Machine Learning Model for Offensive Speech Detection in Online Social Networks Slang Content;WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS;2023-01-17

3. Cluster-based combined hybrid relay vehicle selection approach for improving performance and reliability in vehicular ad hoc networks;International Journal of Communication Networks and Distributed Systems;2023

4. RSU assisted reliable relay selection for emergency message routing in intermittently connected VANETs;Wireless Networks;2022-12-03

5. Intrusion Detection in VANETs and ACVs using Deep Learning;2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC);2022-05-08

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