CRAWDAD

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

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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

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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.

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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

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97 Views

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

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

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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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211 Views

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

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96 Views

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

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131 Views

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)

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1380 Views

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