Modern vehicles are equipped with more and more sophisticated computer modules, which need to periodically download files from the cloud, such as security certificates, digital maps, system firmwares, etc. Collaborative content distribution utilizes V2V communication to distribute large files across the vehicular networks. It has the potential to significantly reduce the cost of cellular-based communication such as 4G LTE. In this report, we have conducted a simulation study to verify the feasibility of a hybrid cellular and V2V collaborative content distribution network. In our simulation, a small portion of the simulated vehicles download the file directly from the cloud via cellular communication, while other vehicles receive the file via collaborative V2V communications. Our simulation results show that, with only 1\% of vehicles enabled with cellular communication, it takes less than 24 hours to distribute a file to 90\% of the vehicles in a metropolitan area, and around 48 to 72 hours to distribute to 99\%. The results are very promising for many delay-tolerant content distribution applications in vehicular networks.
Congestion Aware Spray And Wait Protocol: A Congestion Control Mechanism For The Vehicular Delay Tolerant Network
在过去的几年里，车载自组织网络（VANET）已经成为一个重要的研究领域。为提高车辆网络排放系统的性能进行了大量研究。对VANET进行的进一步研究的一个结果是车辆延迟容忍网络（VDTN）。它是移动DTN的一种应用，其中节点使用存储-携带-转发方法在网络中中继消息。由于它的高移动性，它遭受频繁的断开连接，也在节点处，这导致消息丢弃的拥塞。为了最大限度地减少消息的下降率，从而优化消息传递的概率，使司机越来越多地了解道路的情况，我们提出了一种拥塞控制机制：拥塞感知喷射和等待（CASaW）协议在这项工作中，以优化消息传递到其目的地的速率，从而提高司机在车辆环境中的意识，从而提高道路安全。结果表明，我们的命题表现优于其他经典的VDTN协议的消息传递概率和丢包率的性能指标。我们使用虚拟网络环境（ONE）模拟器实现了经典的VDTN协议：PROPHET协议，Epidemic协议，MaxProp协议和Spray and Wait协议。仿真结果表明，我们提出的拥塞控制机制具有更好的性能，因为它保持了良好的消息传递率，以及最小化数据包丢失率，从而优化了消息到达目的地的机会，从而提高道路安全。
BEVCooper: Accurate and Communication-Efficient Bird's-Eye-View Perception in Vehicular Networks
Huazhong University of Science and Technology（华中科技大学）；The Chinese University of Hong Kong（香港中文大学）；The State Grid Hubei Electric Power Research Institute（国网湖北省电力有限公司电力科学研究院）；Xidian University（西安电子科技大学）
Digital Twin-Enabled Mobility-Aware Cooperative Caching in Vehicular Edge Computing
Guangxi Normal University（广西师范大学）；Key Laboratory of Education Blockchain and Intelligent Technology, Ministry of Education（教育部教育区块链与智能技术重点实验室）；Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips（广西脑启发计算与智能芯片重点实验室）；Guangxi Key Laboratory of Multi-Source Information Mining and Security（广西多源信息挖掘与安全重点实验室）；University Engineering Research Center of Educational Intelligent Technology（教育智能技术大学工程研究中心）；School of Computer Science and Engineering（计算机科学与工程学院）；PCA Lab（PCA实验室）；Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education（教育部高维信息智能感知与系统重点实验室）
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
School of Computer Science and Engineering, University of Electronic Science and Technology of China（电子科技大学计算机科学与工程学院）；Xidian University（西安电子科技大学）；Guangzhou Institute of Technology, Xidian University（西安电子科技大学广州研究院）；Faculty of Information Technology, University of Jyväskylä（于韦斯屈莱大学信息技术学院）
Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaverses
Nanyang Technological University（南洋理工大学）；Peking University（北京大学）；Guangdong University of Technology（广东工业大学）；Singapore University of Technology and Design（新加坡科技设计大学）；Auburn University（奥本大学）；University of Houston（休斯顿大学）；Kyung Hee University（庆熙大学）
Update the Unseen Only: Minimizing AoI for Collaborative Perception through Online Learning
Hong Kong JC STEM Lab of Smart City（香港赛马会智慧城市STEM实验室）；Department of Computer Science, City University of Hong Kong（香港城市大学计算机科学系）；The University of Hong Kong（香港大学）
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
School of Internet of Things Engineering, Jiangnan University（江南大学物联网工程学院）；School of Information Engineering, Jiangxi Provincial Key Laboratory of Advanced Signal Processing and Intelligent Communications, Nanchang University（江西省先进信号处理与智能通信重点实验室信息工程学院）；Department of Electronic Engineering, State Key Laboratory of Space Network and Communications, and the Beijing National Research Center for Information Science and Technology, Tsinghua University（电子工程系、空间网络与通信国家重点实验室及北京信息科学与技术国家研究中心、清华大学）；State Key Lab. of ISN and School of Telecommunications Engineering, Xidian University（信息与通信工程学院、西安电子科技大学信息与通信系统国家重点实验室）；Department of Electronic Engineering, Shanghai JiaoTong University（电子工程系、上海交通大学）；School of Information Science and Engineering, Southeast University（信息科学与工程学院、东南大学）
