Machine learning based cluster formation in vehicular communication
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11235-021-00798-7.pdf
Reference26 articles.
1. Loussaief, F., Marouane, H., Koubaa, H., et al. (2020). Radio resource management for vehicular communication via cellular device to device links: review and challenges. Telecommunication Systems, 73, 607–635. https://doi.org/10.1007/s11235-019-00644-x.
2. Zeadally, S., Guerrero, J., & Contreras, J. (2020). A tutorial survey on vehicle-to-vehicle communications. Telecommunication Systems, 73, 469–489. https://doi.org/10.1007/s11235-019-00639-8.
3. Al-Sultan, S., Al-Doori, M. M., Al-Bayatti, A. H., & Zedan, H. (2014). A comprehensive survey on vehicular ad hoc network. Journal of Network and Computer Applications, 37, 380–392. https://doi.org/10.1016/j.jnca.2013.02.036.
4. Sepulcre, M., & Gozalvez, J. (2021). Heterogeneous v2v communications in multi-link and multi-rat vehicular networks. IEEE Transactions on Mobile Computing, 20(1), 162–173. https://doi.org/10.1109/TMC.2019.2939803.
5. Zhao, D., Qin, H., Song, B., Zhang, Y., Du, X., & Guizani, M. (2020). A reinforcement learning method for joint mode selection and power adaptation in the V2V communication network in 5g. IEEE Transactions on Cognitive Communications and Networking, 6(2), 452–463. https://doi.org/10.1109/TCCN.2020.2983170.
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. A Robust Aggregation Approach for Heterogeneous Federated Learning;2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN);2023-07-04
2. FedCLS: Class-Aware Federated Learning in a Heterogeneous Environment;IEEE Transactions on Network and Service Management;2023-06
3. Optimized Load Balancing and Routing Using Machine Learning Approach in Intelligent Transportation Systems: A Survey;Hybrid Intelligent Systems;2023
4. Reliable Machine Learning‐Based Detection for Cyber Security Attacks on Connected and Autonomous Vehicles;Autonomous Vehicles Volume 1;2022-11-29
5. A Communication Efficient Approach of Global Training in Federated Learning;2022 13th International Conference on Information and Communication Technology Convergence (ICTC);2022-10-19
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3