Wireless Networking
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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229 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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161 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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390 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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1016 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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119 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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530 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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1811 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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2616 Views
Mobile networks have become highly complex systems. In order to better understand how network features affect performance and suggest additional improvements, it is crucial to examine them from an empirical perspective.
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2545 Views
The Open Radio Access Network (O-RAN) Alliance's most recent innovations are propelling the evolution of RAN deployments, moving away from conventionally closed and specialized hardware implementations and toward virtualized instances running over shared platforms and distinguished by open interfaces. Such progressive decoupling of radio software components from the hardware is paving the road for future efficient and cost-effective RAN deployments. However, there are still a lot of open challenges before O-RAN networks can be successfully deployed.
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4163 Views