- Citation Author(s):
- Submitted by:
- CRAWDAD Team
- Last updated:
- Tue, 03/12/2019 - 08:00
- Data Format:
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 : 2019-03-12
nickname : blebeacon
institution : The University of New Mexico - UNM
release date : 2019-03-12
date/time of measurement start : September 15 2016
date/time of measurement end : October 17 2016
collection 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/A
sanitization : The dataset consists of raw data. The measured rssi values do not contain any privacy-related information.
limitation : N/A
Collesction of RSSI values of intercepted BLE packets
- description: 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 Characterization
- RSSIReport: Collesction of RSSI values of intercepted BLE packets
Values: Beacon/user ID,
Packets Received Signal Strength Indicator (RSSI),
Timestamp, ID of the RPi that received the advertisement
Collection of continuous presence in the proximity of a location scanner
- description: 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 Characterization
- CheckReport: Collection of continuous presence in the proximity of a location scanner
Values: Beacon/user ID, the check-in timestamp,
the last seen timestamp, ID of the RPi
The files in this directory are a CRAWDAD dataset hosted by IEEE DataPort.
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Dimitrios Sikeridis, Ioannis Papapanagiotou, Michael Devetsikiotis, unm/blebeacon, https://doi.org/10.15783/c7-ca3s-z207 , Date: 20190312
- blebeacon.zip (122.37 MB)
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