Wireless Networking
Connectivity and throughput measurement from home wireless networks.
Measurements reflect connectivity and UDP/TCP throughput data collected from a grid of six nodes placed within three different houses.
date/time of measurement start: 2005-06-29
date/time of measurement end: 2005-07-03
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This dataset is a collection of phase samples retrieved from an in-house design for a Bluetooth Low Energy (BLE) 5.1 based receiver, using an 8-element Uniform Circular Array (UCA). The purpose of the dataset was the implementation of localization techniques based on the use of Angle-of-Arrival data, possible due to the BLE 5.1 Direction Finding (DF) features. Specifically, the phase differences of a Constant Tone Extension (CTE) read from the different antenna elements can be used to retrieve the AoA of a received packet.
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Time- and frequency-variant 2.4 GHz ISM band channel gain.
The time- and frequency-variant channel gain is measured in the presence of an industrial cyclic moving robot arm obstacle for four coexisting wireless nodes for the whole license-free 2.4-GHz-ISM band with a time- and frequency-resolution of 110 microseconds and 1 MHz, respectively. Results for two links are given.
date/time of measurement start: 2015-05-11
date/time of measurement end: 2015-05-11
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Cause-Specific Episodes of Active Scanning. The dataset includes packet captures collected from controlled experiments with various devices. The dataset captures active scanning behavior of the devices.
Name of each folder represents the name of the cause of active scanning.
For details please refer to our papers - Learning to Rescue WiFi Networks from Unnecessary Active Scans, WoWMoM 2019.
data collection methodology: Controlled
Traceset
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Dataset of user session traces collected from Wi-Fi hotspots for six years. This data set contains user session traces which were collected from a large number of free Wi-Fi hotspots in Montreal, Quebec, Canada for six years.
date/time of measurement start: 2004-08-28
date/time of measurement end: 2010-03-07
collection environment: User session traces which were collected from a large number of free Wi-Fi hotspots in Montreal, Quebec, Canada for six years.
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Prior researches have shown the potential that WiFi signals could be used for human activities recognition (HAR), or monitor a person's gait for human identification (HI). Recently researchers pay more attention to the impact of environmental factors such as activity orientation, walking trajectory, WiFi device location, etc. on the HAR or HI tasks' performance.
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A pcap file containing 122,989 anonymized Probe Requests sent by mobile devices at the Glimps 2015 music festival in Ghent, Belgium.
A collection of 122,989 Probe Request frames captured by 8 monitoring stations at the Glimps music festival in Ghent, Belgium (10 - 12 December 2015). To minimize overhead, each monitoring station individually stored only the transmitter MAC address and Information Elements per unique MAC. The dataset was used to show that the high entropy in Information Elements can be used to deanonymize devices that use MAC address randomization.
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