CRAWDAD unm/blebeacon

The BLEBeacon dataset is a collection of Bluetooth Low Energy (BLE) advertisement packets/traces generated from BLE beacons carried by people following their daily routine inside a university building for a whole month. A network of Raspberry Pi 3 (RPi)-based edge devices were deployed inside a multi-floor facility continuously gathering BLE advertisement packets and storing them in a cloud-based environment. The focus is on presenting a real-life realization of a location-aware sensing infrastructure, that can provide insights for smart sensing platforms, crowd-based applications, building management, and user-localization frameworks.last modified : 2019-03-12nickname : blebeaconinstitution : The University of New Mexico - UNMrelease date : 2019-03-12date/time of measurement start : September 15 2016date/time of measurement end : October 17 2016collection environment : The BLEBeacon Dataset is a collection of BLE advertisement packets gathered from a three-floor sensing infrastructure accommodating real-participants carrying iBeacons, following their routines during a one-month period. Possible uses of the dataset include network behavior and reliability detection in similar sensing environments, user mobility pattern extraction due to the experiments length, occupancy clustering with group identification/monitoring, and provision of facility management or crowd monitoring application insights considering real-life conditions.network configuration : The utilized network architecture consists of a set of raspberry pi nodes that continuously gather packets through the wireless Bluetooth interface, and forward the information to a remote cloud-based database. The originator of the wireless Bluetooth packets are iBeacon Bluetooth devices that were provided to trial participants. The data collection was implemented with a publish-subscribe mechanism.data collection methodology : N/Asanitization : The dataset consists of raw data. The measured rssi values do not contain any privacy-related information.limitation : N/ATracesetunm/blebeacon/RSSIReportCollesction of RSSI values of intercepted BLE packetsdescription: All advertisement packet receptions from occupant beacon devices are directly reported to the server with a message that contains the beacon/user ID, the packets Received Signal Strength Indicator (RSSI), a reception timestamp, and finally the ID of the RPi that received the advertisement.measurement purpose: User Mobility Characterizationunm/blebeacon/RSSIReport TracesRSSIReport: Collesction of RSSI values of intercepted BLE packetsformat:Format: .csvValues: Beacon/user ID,Packets Received Signal Strength Indicator (RSSI),Timestamp, ID of the RPi that received the advertisementunm/blebeacon/CheckReportCollection of continuous presence in the proximity of a location scannerdescription: Each RaspberryPi scanner continuously manages a list of current occupants/users in its proximity. A check in timestamp is created during occupants initial entry, and while this beacon is still being detected by the RPi, a last seen timestamp is updated. When the beacon is no longer detected (advertisement packets are no longer being received) a Check-In/Check-Out report packet is created and sent to the server containing the beacon/user ID, the check in timestamp, the last seen timestamp, and finally the ID of the RPi as seen in Fig. 3. A thirty second period is used to ensure that the occupant exited the RPi proximity.measurement purpose: User Mobility Characterizationunm/blebeacon/CheckReport TracesCheckReport: Collection of continuous presence in the proximity of a location scannerformat:Format: .csvValues: Beacon/user ID, the check-in timestamp,the last seen timestamp, ID of the RPi

BLEBeacon数据集汇聚了由携带蓝牙低功耗（BLE）信标的人群在大学建筑内遵循日常规律一个月期间产生的蓝牙低功耗广告数据包/轨迹。该数据集由一组基于Raspberry Pi 3（RPi）的边缘设备网络构成，部署在多层设施内，持续收集BLE广告数据包并将其存储在云端环境中。本数据集旨在呈现一个真实的基于位置感知的传感基础设施的实现，为智能传感平台、基于群体的应用、建筑管理和用户定位框架提供洞见。最后修改时间：2019年3月12日；昵称：blebeacon；机构：新墨西哥大学（UNM）；发布日期：2019年3月12日；测量开始时间/日期：2016年9月15日；测量结束时间/日期：2016年10月17日；收集环境：BLEBeacon数据集为一组在三层传感基础设施中收集的BLE广告数据包，该基础设施容纳了携带iBeacon信标的真实参与者，他们在一个月期间遵循其日常规律。该数据集的可能用途包括在类似传感环境中检测网络行为和可靠性、由于实验时长而提取用户移动模式、基于群体的占用聚类以及考虑实际条件的设施管理或人群监控应用的洞见。网络配置：所用的网络架构由一组通过无线蓝牙接口持续收集数据包并将其转发到远程云端数据库的Raspberry Pi节点构成。无线蓝牙数据包的发起者是提供给试验参与者的iBeacon蓝牙设备。数据收集通过发布-订阅机制实施。数据收集方法：N/A；数据净化：该数据集包含原始数据。测量的rssi值不包含任何与隐私相关的信息。局限性：N/A；TraceSetunm/blebeacon/RSSI：拦截的BLE数据包的RSSI值集合描述：来自占用信标设备的所有广告数据包的接收直接报告给服务器，包含信标/用户ID、接收到的信号强度指示器（RSSI）、接收时间戳以及最后接收广告的RPi的ID。测量目的：用户移动性表征；unm/blebeacon/RSSIReport Traces：RSSIReport：拦截的BLE数据包的RSSI值集合格式：格式：.csv值：信标/用户ID，接收到的信号强度指示器（RSSI），时间戳，接收广告的RPi的ID；unm/blebeacon/CheckReport：连续存在于位置扫描器附近的集合描述：每个Raspberry Pi扫描器持续管理其附近当前占用者/用户列表。在占用者初次进入时创建一个检查时间戳，在信标仍被RPi检测到时更新最后看到的时间戳。当信标不再被检测到（不再接收广告数据包）时，创建并发送一个检查/退出的报告数据包到服务器，包含信标/用户ID、检查时间戳、最后看到的时间戳以及最后看到的RPi的ID。为确保占用者已离开RPi的附近，使用30秒的时间间隔。测量目的：用户移动性表征；unm/blebeacon/CheckReport Traces：CheckReport：连续存在于位置扫描器附近的集合格式：格式：.csv值：信标/用户ID，检查时间戳，最后看到的时间戳，RPi的ID。