Adaptive Distributed Beacon Congestion Control with Machine Learning in VANETs-Reference-Cited by-同舟云学术

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Adaptive Distributed Beacon Congestion Control with Machine Learning in VANETs

Published:2021-12 Issue: Volume: Page:
ISSN:
Container-title:2021 17th International Conference on Mobility, Sensing and Networking (MSN)
language:
Short-container-title:

Author:

Mohammadi Mahboubeh¹,Balador Ali²,Fernandez Zaloa³,Val Inaki⁴

Affiliation:

1. Iran University of Science and Technology,Tehran,Iran

2. RISE Research Institute of Sweden,Västerås,Sweden

3. Vicomtech Foundation, Basque Research and Technology Alliance (BRTA),San Sebastián,Spain

4. Ikerlan Technology Research Centre,Mondragón,Spain

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751460/9751461/09751511.pdf?arnumber=9751511

Reference21 articles.

1. LIMERIC: A Linear Adaptive Message Rate Algorithm for DSRC Congestion Control

2. Design methodology and evaluation of rate adaptation based congestion control for Vehicle Safety Communications

3. Distributed and Fair Beaconing Rate Adaptation for Congestion Control in Vehicular Networks

4. ABC: Adaptive Beacon Control for Rear-End Collision Avoidance in VANETs

5. On the Ability of the 802.11p MAC Method and STDMA to Support Real-Time Vehicle-to-Vehicle Communication

Cited by 4 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. Intelligent High-Awareness and Channel-Efficient Adaptive Beaconing Based on Density and Distribution for Vehicular Networks;Electronics;2024-02-26

2. Data Rate Selection Strategies for Periodic Transmission of Safety Messages in VANET;Electronics;2023-09-07

3. VANET Real Safety Congestion Control Wireless Access in Vehicular Environment Using Artificial Intelligence;2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF);2023-01-05

4. An Opponent-Aware Reinforcement Learning Method for Team-to-Team Multi-Vehicle Pursuit via Maximizing Mutual Information Indicator;2022 18th International Conference on Mobility, Sensing and Networking (MSN);2022-12

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