iV2V 和 iV2I+

iV2V 和 iV2I+ 数据集由德国弗劳恩霍夫海因里希赫兹研究所创建，旨在为工业移动网络的未来实验提供基础。iV2V 数据集涵盖了自动引导车辆（AGVs）之间的侧链路通信场景，而 iV2I+ 数据集则记录了连接到私有蜂窝网络的自主清洁机器人的通信数据。这两个数据集均通过详细的测量方法捕获，包含丰富的通信参数和环境数据，适用于机器学习任务如指纹识别、视线检测和质量服务预测。数据集的应用领域包括工业自动化、机器人协作和无线通信优化，旨在提高工业无线网络的可靠性和效率。

The iV2V and iV2I+ datasets were developed by the Fraunhofer Heinrich Hertz Institute of Germany, with the aim of providing a foundational resource for future experiments on industrial mobile networks. The iV2V dataset focuses on sidelink communication scenarios between Automated Guided Vehicles (AGVs), whereas the iV2I+ dataset records communication data collected from autonomous cleaning robots connected to private cellular networks. Both datasets are acquired through rigorous measurement methodologies, encompassing a comprehensive set of communication parameters and environmental data, and are applicable to machine learning tasks including wireless fingerprinting, line-of-sight detection, and quality of service (QoS) prediction. The target application domains of these datasets span industrial automation, robotic collaboration, and wireless communication optimization, with the overarching goal of enhancing the reliability and efficiency of industrial wireless networks.