Openwifi-based Spatial-RSSI Telemetry Dataset for Wi-Fi Handover Optimization

The dataset captures the relationship between physical device location and network signal quality across multiple Access Points (APs). Positioning data was acquired using Ultra-Wideband (UWB) technology, while network parameters were logged utilizing an OpenWifi-based IEEE 802.11 testbed. This dataset is intended to aid researchers in developing, testing, and validating low-latency wireless communication protocols and ML-driven handover algorithms. Dataset Structure and Content capture.csv: Contains the raw capture data correlating spatial coordinates with Wi-Fi signal strength per Access Point. x: The X-coordinate of the mobile node (derived from UWB positioning). y: The Y-coordinate of the mobile node. rssi: Received Signal Strength Indicator at the mobile node (in dBm). ap: The unique identifier for the Access Point. models.pdf: Contains a graphical representation of the dataset as well as the model's prediction. Measurement Parameter Value Measurement time/per AP ≈ 60 s Measurement area (d) 3x2 m APs channels 5955, 5975, & 5995 MHz Data rate 26 Mbps Bandwidth 20 MHz Traffic (iperf) UL & DL at 5 Mbps Rover speed 0.4 m/s Sampling time ($t_s$) 40 ms For more details, please check: P. Avila-Campos, J. Haxhibeqiri, X. Jiao, I. Moerman and J. Hoebeke, "Optimizing Handover in Time-Sensitive Wi-Fi Networks through Machine Learning," 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA), Padova, Italy, 2024, pp. 1-8, doi: 10.1109/ETFA61755.2024.10710709.