{"url":"/dataset/iv2v-and-iv2i","name":"iV2V and iV2I+","full_name":"AI4Mobile Industrial Wireless Datasets: iV2V and iV2I+","description_markdown":"This dataset provides wireless measurements from two industrial testbeds: iV2V (industrial Vehicle-to-Vehicle) and iV2I+ (industrial Vehicular-to-Infrastructure plus sensor).\r\n\r\niV2V covers 10h of sidelink communication scenarios between 3 Automated Guided Vehicles (AGVs), while iV2I+ was conducted for around 16h at an industrial site where an autonomous cleaning robot is connected to a private cellular network.\r\n\r\nThe data includes information on physical layer parameters (such as signal strength and signal quality), wireless Quality of Service (QoS) like delay and throughput, and positioning information.\r\n\r\nThe datasets are labelled and pre-filtered for a fast on-boarding and applicability. The common measurement methodology to both datasets pursues an application to Machine Learning (ML) for tasks such as fingerprinting, line-of-sight detection, QoS prediction or link selection, among others.","description_withheld":null,"homepage":"https://ieee-dataport.org/open-access/ai4mobile-industrial-wireless-datasets-iv2v-and-iv2i","introduced_date":"2022-12-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-an-ai-enabled-connected-industry-agv","title":"Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets","first_author":"Rodrigo Hernangómez","url":null},"license":{"name":"Creative Commons Attribution","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Point cloud","url":"/datasets/modality/point-cloud"},{"name":"Tabular","url":"/datasets/modality/tabular"},{"name":"Time series","url":"/datasets/modality/time-series"},{"name":"LiDAR","url":"/datasets/modality/lidar"}],"tasks":[{"name":"Intelligent Communication","url":"/task/intelligent-communication","datasets_with_task":"/datasets/task/intelligent-communication"},{"name":"Connectivity Estimation","url":"/task/connectivity-estimation","datasets_with_task":"/datasets/task/connectivity-estimation"}],"languages":[],"variants":["iV2V and iV2I+"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}