CRAWDAD
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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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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41 Views
Mobility data collected by LifeMap monitoring system at Yonsei University in Seoul.
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210 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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157 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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71 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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63 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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659 Views
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
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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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58 Views
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
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68 Views