Reinforcement learning-based clustering scheme for the Internet of Vehicles-Reference-Cited by-同舟云学术

Reinforcement learning-based clustering scheme for the Internet of Vehicles

Published:2021-08-25 Issue:9-10 Volume:76 Page:685-698
ISSN:0003-4347
Container-title:Annals of Telecommunications
language:en
Short-container-title:Ann. Telecommun.

Author:

Zerrouki Hayet,Moussaoui Samira,Derder Abdessamed,Doukha Zouina

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12243-021-00879-3.pdf

Reference27 articles.

1. Li G, Boukhatem L, Wu J (2016) Adaptive quality-of-service-based routing for vehicular ad hoc networks with ant colony optimization. IEEE Trans Veh Technol 66(4):3249–3264

2. Hafeez KA, Anpalagan A, Zhao L (2015) Optimizing the control channel interval of the dsrc for vehicular safety applications. IEEE Trans Veh Technol 65(5):3377–3388

3. IEEE Std (2010) 802.11p TM-2010-IEEE standard for information technology–local and metropolitan area networks–specific requirements–part 11: wireless LAN medium access control (MAC) and physical layer (PHY) specifications amendment 6: Wireless Access in Vehicular Environments

4. IEEE Standard for Wireless Access in Vehicular Environments (WAVE) (2016) Multi-channel operation. IEEE Std 1609.4–2016 (Revision of IEEE Std 1609.4–2010): 1–94

5. Yang F, Tang Y (2014) Cooperative clustering-based medium access control for broadcasting in vehicular ad-hoc networks. IET Commun 8(17):3136–3144

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