2023 IEEE Vehicular Networking Conference (VNC)最新文献_第2页

Machine Learning Aided NR-V2X Quality of Service Predictions 机器学习辅助NR-V2X服务质量预测

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136346

Aslihan Reyhanoglu, Emrah Kar, Feyzi Ege Kumec, Yahya Sukur Can Kara, Sercan Karaagac, B. Turan, S. Coleri

{"title":"Machine Learning Aided NR-V2X Quality of Service Predictions","authors":"Aslihan Reyhanoglu, Emrah Kar, Feyzi Ege Kumec, Yahya Sukur Can Kara, Sercan Karaagac, B. Turan, S. Coleri","doi":"10.1109/VNC57357.2023.10136346","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136346","url":null,"abstract":"Vehicle-to-Everything Communication (V2X) technologies aim to meet strict quality-of-service (QoS) requirements of vehicular connectivity applications such as safety message exchange, remote driving, and sensor data sharing. The high reliability requirement is particularly important to enable safety relevant applications. Thus, predicting QoS levels becomes key to ensure the reliability of the connected vehicle applications. Recently, machine learning (ML) algorithms are demonstrated to provide dependable predictions to plan, simulate, and evaluate the performance of vehicular networks. In this paper, we propose ML aided New Radio (NR)-V2X QoS predictions scheme to provide Packet Delivery Ratio (PDR) and throughput predictions with the input of Modulation and Coding Schemes (MCS), distance-to-base station, Signal to Interference plus Noise Ratio (SINR), and packet size. Seven different ML algorithms based prediction models are trained and evaluated by using NR-V2X simulation data. We provide performance comparisons between Support Vector Regression (SVR), Deep Neural Network (DNN), Random Forest (RF), Gradient Boosting Machine (GBM), Extreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Light GBM (LGBM) for predicting throughput and PDR. We demonstrate that CatBoost and RF are the best performing algorithms to predict throughput and PDR of NR-V2X networks, respectively.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132727795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Source Linking Framework in Vehicular Networks for Security of Electric Vehicles using Machine Learning 基于机器学习的电动汽车安全车联网源链接框架

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136272

F. Noori, Azeem Hafeez, H. Malik, Md. Zia Uddin, J. Tørresen

{"title":"Source Linking Framework in Vehicular Networks for Security of Electric Vehicles using Machine Learning","authors":"F. Noori, Azeem Hafeez, H. Malik, Md. Zia Uddin, J. Tørresen","doi":"10.1109/VNC57357.2023.10136272","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136272","url":null,"abstract":"Fully connected autonomous vehicles are more vulnerable than ever to hacking and data theft. The controller area network (CAN) protocol is an effective means of communication between in-vehicle control networks. However, the absence of basic security features of this protocol, like message authentication, makes it quite vulnerable to a wide range of attacks, including spoofing attacks. As traditional cybersecurity methods impose limitations in ensuring the confidentiality and integrity of transmitted messages via CAN bus, a new technique has emerged among others to approve its reliability in fully authenticating in-vehicle communication messages. At the physical layer of the communication system, the method of fingerprinting the messages is being implemented to connect the received signal to the transmitting Engine Control Unit (ECU). This paper introduces a new method to enhance the security of modern, fully autonomous electric vehicles. Errors due to digital to-analog converter (DAC) are used to estimate ECU-specific distortion distributions, which are utilized for transmitting node identification. A dataset collected from a CAN network with seven ECUs is used to evaluate the efficient performance of the suggested method. The experimental results indicate that kNNs achieved 99.2% accuracy in ECU detection and outperformed the rest of the classifiers.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133310905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data Sharing in Virtual Edge Computing using Coded Caching 使用编码缓存的虚拟边缘计算中的数据共享

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136281

Gurjashan Singh Pannu, Seyhan Uçar, Takamasa Higuchi, O. Altintas, F. Dressler

引用次数: 0

On the Feasibility of RIS-enabled Cooperative Driving 基于ris的协同驾驶可行性研究

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136324

Michele Segata, P. Casari, M. Lestas, Dimitrios Tyrovolas, Taqwa Saeed, G. Karagiannidis, C. Liaskos

引用次数: 1

Poster: Cuckoo Filters for Two-Hop Neighbor Management in Vehicular Networks 海报:杜鹃滤波器在车辆网络中的两跳邻居管理

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136341

Simon Welzel, F. Dressler, Florian Klingler

引用次数: 0

On the Coexistence of Maneuver Coordination Service with Use-Case Specific Applications 论机动协调服务与特定用例应用的共存

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136274

Edmir Xhoxhi, Shule Li

引用次数: 0

Application of 10BASE-T1S Ethernet in Delay-Sensitive Vehicular Networks 10BASE-T1S以太网在延迟敏感车联网中的应用

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136336

Ji-hwan Min, Youngil Park

引用次数: 0

On Time Constraints for Internet-Connected Multi-User Real-Time Traffic Simulation 互联多用户实时流量仿真的时间约束研究

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136338

Marie-Christin H. Oczko, Lukas Stratmann, Florian Klingler, F. Dressler

引用次数: 1

A New Approach To Pseudonym Certificate Management in V2X Communication V2X通信中假名证书管理的新方法

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136349

T. Yoshizawa, B. Preneel

引用次数: 0

Context-Aware Reinforcement Learning for Supporting WiFi Connectivity for Vehicles 支持车辆WiFi连接的上下文感知强化学习

2023 IEEE Vehicular Networking Conference (VNC) Pub Date : 2023-04-26 DOI: 10.1109/VNC57357.2023.10136333

Mushahid Hussain, Felipe França, Ana Aguiar

引用次数: 0