BLEBeacon

BLEBeacon数据集是由新墨西哥大学电气与计算机工程系创建，收集了46名参与者在一个月内携带蓝牙低能耗信标产生的广告数据。数据集通过部署在多层建筑内的Raspberry Pi 3设备收集，旨在研究智能感知平台、基于人群的应用、建筑管理和用户定位框架。该数据集不仅提供了大规模多层环境下的长期实验数据，还展示了真实生活中位置感知传感基础设施的实现，适用于网络行为分析、用户移动模式提取、占用集群识别及监控等应用。

The BLEBeacon Dataset was created by the Department of Electrical and Computer Engineering, University of New Mexico. It collected advertising data generated by 46 participants carrying Bluetooth Low Energy (BLE) beacons over a one-month period. The dataset was gathered using Raspberry Pi 3 devices deployed in a multi-story building, aiming to conduct research on intelligent sensing platforms, crowd-based applications, building management, and user localization frameworks. This dataset not only provides long-term experimental data in large-scale multi-story environments, but also showcases the implementation of real-world location-aware sensing infrastructures, and is applicable to applications including network behavior analysis, user mobility pattern extraction, occupancy cluster identification, and monitoring.