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This dataset contains seven connectivity traces that have been derived from the cambridge/haggle/imote traceset (v. 2009-05-29). These connectivity traces can be used for network simulations with the Opportunistic Network Environment (ONE) simulator, since they are in accordance with the syntax of the StandardEventsReader format. The Python scripts that generated these connectivity traces are also provided.
last modified : 2016-08-28
nickname : haggle
institution : University of Ioannina
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70 Views
Real-time position data reported by buses, updated every minute, from the city of Rio de Janeiro, Brazil. The file is CSV, containing the date, time(24h format), bus ID, bus line, latitude, longitude and speed of more than 12,000 buses.
last modified : 2018-03-19
nickname : RioBuses
institution : coppe-ufrj
release date : 2018-03-19
date/time of measurement start : 2014-10-01
date/time of measurement end : 2014-10-31
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162 Views
Mobility data collected by LifeMap monitoring system at Yonsei University in Seoul.
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155 Views
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.
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137 Views
The measurement results provided here are part of work on PhD thesis connected with measurement results variability reduction (main focus was on GSM/UMTS system. but other technologies were measured at the same time). All measurements were of indoor type. The duration of collecting data samples was 24h per day, with 10 seconds sampling interval. At some places it took one, two or four weeks to complete the measurements. Equipment used is the dosimeter (or exposimeter) EME Spy 140 (manufactured by Satimo).
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54 Views
MySignals dataset was collected by a network of approx. 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr) for a period of approximately 8 months. MySignal App records the received signal strength indicator (RSSI), in dBm, of the mobile serving cell, as well as their own location, through the GPS module of their smartphone and other contextual information (timestamp, deviceID etc.). Measurements and relevant information (e.g.
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93 Views
Probe request frames
The sniffer was stationary. Data were obtained over 40 minutes. The sniffer arbitrates thru the 13 channels of the 802.11. The acquisition was done at the night with moderate traffic. Data was gathered from sniffing on WiFi networks in a public mall.
date/time of measurement start: 2021-06-04
date/time of measurement end: 2021-06-04
Traceset
probeRequests
This dataset contains only the probe request frames.
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65 Views
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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63 Views
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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61 Views
Fingerprinting of wireless devices exploiting information leaked due to different device hardware compositions: Inter-Arrival-Time (IAT) of packets from wireless devices.
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90 Views