Wireless Networking
Recently, unmanned aerial vehicles (UAVs) have been receiving significant attention due to the wide range of potential application areas. To support UAV use cases with beyond visual line of sight (BVLOS) and autonomous flights, cellular networks can provide connectivity points to UAVs and provide remote control and payload communications. However, there are limited datasets to study the coverage of cellular technologies for UAV flights at different altitudes.
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This dataset contains mobility traces of taxi cabs in San Francisco, USA. It contains GPS coordinates of approximately 500 taxis collected over 30 days in the San Francisco Bay Area.
date/time of measurement start: 2008-05-17
date/time of measurement end: 2008-06-10
collection environment: This data set contains mobility traces of taxi cabs in San Francisco, USA. It contains GPS coordinates of approximately 500 taxis collected over 30 days in the San Francisco Bay Area.
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Dataset of wireless LAN traffic around Portland, Oregon using a commercial sniffer VWave.
We collected six wireless LAN traffic traces around Portland, Oregon using a commercial sniffer VWave which has a nano-second time resolution.
date/time of measurement start: 2006-06-12
date/time of measurement end: 2006-07-24
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Dataset of UDP and TCP transfers between a moving car and an 802.11b access point.
Dataset of UDP and TCP transfers between a car traveling at speeds from 5 mph to 75 mph, and an 802.11b access point.
date/time of measurement start: 2005-03-14
date/time of measurement end: 2005-03-25
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Dataset of all visible APs of 13 hotspot locations in Seattle, WA over one week.
We measured the performance and application support of all visible APs at 13 hotspot locations around University Avenue, Seattle, WA, near the University of Washington over the course of 1 week.
date/time of measurement start: 2009-10-07
date/time of measurement end: 2009-10-15
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Channel energy levels from Wi-Fi networks as seen from a 802.15.4 radio.
We use a sensor network composed of TelosB motes deployed in the library building to collect RF energy level samples (RSSI) on all 802.15.4 channels in the 2.4 GHz ISM Band. The building has several collocated Wi-Fi networks in normal operation. These networks produce interference for the 802.15.4 radios. Sensor nodes record RSSI values every 20 us, simultaneously on all channels, for 130 ms and then write the result to the respective files. This process is repeated every 8 seconds for around 4h.
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Traces of network activity at OSDI 2006.
The authors gathered a detailed trace of network activity at OSDI 2006 to enable analysis of the behavior of a wireless LAN that is (presumably) heavily used.
date/time of measurement start: 2006-11-06
date/time of measurement end: 2006-11-07
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It is a large-scale data set of wireless network coverage for over 22,000 4G base stations in France. This data set is generated by applying VoronoiBoost and official sources of base station deployment. The data covers ten main metropolitan areas in the country, encompassing a variety of dense urban, suburban and rural areas.
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