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4G and 5G RAN monitoring data collected using the ElasticMon 5G monitoring framework over FlexRAN

last modified : 2019-08-28

nickname : elasticmon5G2019

institution : eurecom

release date : 2019-08-28

date/time of measurement start : 2019-12-11

date/time of measurement end : 2019-12-11

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593 Views

Detailed mobile phone use data (events, sensors, emotion self-reports, traits) of 342 people over the course of 342

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316 Views

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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131 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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277 Views

Mobility data collected by LifeMap monitoring system at Yonsei University in Seoul.

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287 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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196 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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68 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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162 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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137 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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74 Views

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