Wireless Networking
This dataset contains traces of 802.11p packets, collected in a rural area located in the periphery of Aachen (Germany) in 2012, with the presence of an RF jamming signal with constant, periodic, and reactive jamming patterns. (dataset v. 2014-05-12)
This dataset contains several tracesets of 802.11p communications with the presence of an RF jamming signal. The RF jammer has different patterns of operation, namely constant, periodic, and reactive jamming. The observations were performed in a rural area located in the periphery of Aachen in Germany.
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518 Views
This dataset contains traces of 802.11p packets, collected in an anechoic chamber and outdoors in Porto (Portugal) in 2011, with and without the presence of an RF jamming signal with constant, reactive, and pilot jamming patterns. (dataset v. 2014-05-12)
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470 Views
Dataset of animal movement traces collected from real-world ZebraNet deployments.
The data contained in this data set are movement traces collected from two real-world ZebraNet deployments at Sweetwaters Game Reserve near Nanyuki, Kenya. The first deployment was in January 2004 and the second deployment was during summer of 2005. The data offer detailed animal position information using UTM format.
date/time of meaurement start: 2004-01-12
date/time of meaurement end: 2005-06-27
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219 Views
The bus-based DTN (Disruption-tolerant networks) traces from UMass Amherst campus.
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.
The bus-based DTN (Disruption-tolerant networks) traces from UMass Amherst campus.
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154 Views
Traces of various radio signal standards
Dataset of traces of IEEE 802.11b/g, IEEE 802.15.4 and Bluetooth packet transmissions with varying SNRs in the baseband. Note: Python 2.7 is required to load the dataset. Additionally, different frequency offsets were added in the baseband to reflect different channels of the wireless technologies.
date/time of measurement start: 2016-08-22
date/time of measurement end: 2016-08-22
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368 Views
Human mobility data collected from five different sites.
We collected human mobilicty traces from five different sites - two university campuses (NCSU and KAIST), New York City, Disney World (Orlando), and North Carolina state fair.
date/time of measurement start: 2006-08-26
date/time of measurement end: 2008-04-18
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942 Views
GPS traces collected from a team of firefighters during a forest fire exercise.
Dataset contains simultaneous GPS traces collected at 1 Hz from a team of firefighters during a forest fire exercise. The traces were generated by Android phones placed in each of four firefighters and a generic GPS device placed in the firetruck.
release date: 2019-09-16
Tracesets
it/vr2marketbaiaotrial-dataset
GPS traces collected from a team of firefighters
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files: it-vr2marketbaiaotrial.tar.gz, VR2Market_BaiaoTrial.zip
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114 Views
This data set provides complex-baseband samples of vehicle-to-vehicle communication (V2V) radios in the presence of primitive jamming signals. Up to 600 vehicles are simulated in this dataset using commerical IEEE 802.11p radios. Supporting example code found on CodeOcean can be used for developing novel physical layer based jamming detection and mitigation strategies using machine learning for ad hoc vehicular networks.
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501 Views
Future wireless networks must incorporate awareness, adaptability, and intelligence as fundamental building elements in order to meet the wide range of requirements of the next-generation communication systems. Wireless sensing techniques can be used to gather awareness from the radio signals present in the surroundings. However, threats from hostile attackers, such as jamming, eavesdropping, and manipulation, are also present along with this. This paper describes in detail an RF-jamming detection test-bed and provides experimentally measured data.
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1746 Views
This dataset provides wireless measurements from two industrial testbeds: iV2V (industrial Vehicle-to-Vehicle) and iV2I+ (industrial Vehicular-to-Infrastructure plus sensor).
iV2V covers 10h of sidelink communication scenarios between 3 Automated Guided Vehicles (AGVs), while iV2I+ was conducted for around 16h at an industrial site where an autonomous cleaning robot is connected to a private cellular network.
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2309 Views