CRAWDAD Team

The dataset contains 10 types of context information (i.e., audio restricted access, Wi-Fi and Bluetooth Low Energy (BLE) beacons, barometric pressure, humidity, luminosity, temperature, accelerometer, gyroscope, and magnetometer) collected by multiple devices in three scenarios: car, office, and mobile. The collected context information is used to evaluate the performance of five zero-interaction pairing or authentication schemes the results of this evaluation are also part of the dataset.

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

Tcpdump data set collected from a CDMA 1x EV-DO network in South Korea.

We collected tcpdump data from a CDMA 1x EV-DO network in South Korea that provides high-speed "always on" Internet connectivity in a wide-area mobile environment.

last modified : 2007-10-11

release date : 2007-09-26

date/time of measurement start : 2005-08-17

date/time of measurement end : 2006-01-27

In order to be used for examples or projects in communication systems or digital signal processing courses, the radio frequency (RF) signal was recorded from several commercial communication systems and stored in a database. This database contains recordings of radio frequency (RF) signals from several commercial communication systems including AM and FM radio, high definition AM and FM radio, analog and digital TV, Bluetooth, WiFi, GPS, WWV time signal, garage door opener, remote control for toy cars, wireless thermometers, and a wireless serial cable replacement system.

War-walking data set collected in different cities in the United States for the field study and evaluation of an access point selection system.

We collected the data set through war walking, i.e., collecting Wi-Fi beacons by walking around the neighborhoods in different cities in the United States, for the field study and evaluation of Virgil, an access point selection system.

last modified : 2008-03-31

release date : 2008-03-28

date/time of measurement start : 2005-04-28

This data set contains a collection of wireless traces from the University of Puerto Rico. Wireless signal strength measurements for Dell and Thinkpad laptops were performed over distances of 500 feet and one mile. The data is presented in .cap files giving TCP dump packet headers.

last modified : 2008-09-24

release date : 2006-04-12

date/time of measurement start : 2006-01-24

date/time of measurement end : 2006-01-24

Dataset of wireless network measurement in SIGCOMM 2004 conference.

Note: This dataset has multiple versions.  The dataset file names of the data associated with this version are listed below, under the 'Traceset' heading and can be downloaded under 'Dataset Files' on the right-hand side of the page.

We are trying to understand how well 802.11 networks work in practice and how they can be improved. This dataset includes the traces collected by wireless monitoring and wired monitoring using tcpdump.

We collected localization traces from a radio interferometric tracking system, which is implemented on mote-class wireless sensor nodes.

last modified : 2007-07-18

release date : 2007-06-06

date/time of measurement start : 2006-11-29

date/time of measurement end : 2006-11-29

Dataset of network performance data collected with WiScape framework from three commercial cellular wireless networks.

last modified : 2012-08-03

release date : 2012-08-03

date/time of measurement start : 2008-03-13

date/time of measurement end : 2011-05-05

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

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.

Dataset of mobility traces collected by Pocket Mobility Trace Recorder devices at University of Milano.

This dataset contains mobility traces from 44 mobile devices at University of Milano. The data was collected in November 2008.

date/time of measurement start: 2008-11-13

date/time of measurement end: 2008-12-01

Traces of Bluetooth encounters, Facebook friendships and interests of a set of users collected through SocialBlueConn application at University of Calabria

We have created a Deep Learning model for 5G and Network Slicing. (eMBB, URLLC, IoT).

I encourage developers and researchers working on the 4G/LTE, 5G, 6G and similar interest to use and provide feedback:

Our research can be found at

1. IEEE paper "DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks" (https://ieeexplore.ieee.org/document/8993066)

2. IEEE paper "Secure5G: A Deep Learning Framework Towards a Secure Network Slicing in 5G and Beyond" (https://ieeexplore.ieee.org/document/9031158)

Dataset of RSS measurements of a Mica2 sensor network deployed at the University of Michigan.

This is a dataset of RSS measurements collected by Mica2 sensor nodes deployed inside and outside a lab room, with anomaly patterns occurring when students walked into and out of the lab. A web camera recorded the activity that could be matched with detected anomalies.

date/time of measurement start: 2006-04-21

date/time of measurement end: 2006-04-21

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).

Dataset of comprehensive traces of wireless activity in the UCSD Computer Science building.

To characterize the sources of delay in 802.11 production network, we collected comprehensive traces of wireless activity in the UCSD Computer Science building.

last modified : 2008-09-30

release date : 2008-08-25

date/time of measurement start : 2007-01-11

date/time of measurement end : 2007-01-11

Detailed link quality information was collected over several days from the UCSB MeshNet for characterizing routing stability in wireless mesh networks.

last modified : 2007-02-15

release date : 2007-02-01

date/time of measurement start : 2006-04-01

date/time of measurement end : 2006-04-07

Traces of Bluetooth encounters, opportunistic messaging, and social profiles of 76 users of MobiClique application at SIGCOMM 2009.

The dataset contains data collected by an opportunistic mobile social application, MobiClique. The application was used by 76 persons during SIGCOMM 2009 conference in Barcelona, Spain. The data sets include traces of Bluetooth  device proximity, opportunistic message creation and dissemination, and the social profiles (friends and interests) of the participants.

This dataset includes the traces collected by wireless monitoring at the 62nd Internet Engineering Task Force (IETF) meeting held in Minneapolis, MN, March, 2005.

last modified : 2006-11-14

release date : 2005-10-19

date/time of measurement start : 2005-03-09

date/time of measurement end : 2005-03-10

This data set includes several traces about the available Bluetooth connectivity during a typical day on the Unitrans bus system at University of California, Davis.

date/time of measurement start: 2006-01-24

date/time of measurement end: 2006-03-03

Dataset for evaluation of co-presence detection

We conducted a study with 126 subjects, over three months, collecting data from various sensors, that resulted in a multimodal dataset for co-presence detection. We publish a subset of the original data set in the period between 01.06.2018 and 15.06.2018 including Wi-Fi scans as proximity verification set, magnetometer as sensor data, the positions of Wi-Fi access points, and magnetometer's sensor hardware.

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.

To investigate whether a large-scale Bluetooth worm outbreak is viable in practice, we conducted controlled experiments and we gathered traces of Bluetooth activity in different urban environments to determine the feasibility of a worm infection 

date/time of measurement start: 2005-11-16

date/time of measurement end: 2005-11-26 

This data set contains 6 months of mobile phone records of German Green party politician Malte Spitz, stored by Deutsche Telekom in 2009-2010.

date/time of measurement start: 2009-08-31

date/time of measurement end: 2010-02-27