CRAWDAD: a community resource for archiving wireless data at Dartmouth

490 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Designing mobility models based on social network theory (2007, background): “CM speed=[1-6] m/s CM speed=[1-10] m/s CM speed=[1-20] m/s Intel traces”
Modeling Time-Variant User Mobility in Wireless Mobile Networks (2007, methodology): “We combine the two streams of research in this paper by taking into account the mobility properties observed in WLAN users and proposing a mathematical manageable mobility model.”
Data Offloading Techniques in Cellular Networks: A Survey (2015, unknown): “For this reason, the analysis is often made taken real world traces from CRAWDAD [135], a platform to share wireless network traces.”
A community based mobility model for ad hoc network research (2006, background): “First of all, as mentioned, the available data are limited.”
NILMTK: an open source toolkit for non-intrusive load monitoring (2014, methodology): “Similarly, CRAWDAD collects 89 data sets of wireless network data in addition to software to aid the analysis of such data for the wireless network community [9].”
The Grid Workloads Archive (2008, unknown): “The Internet community has since created several other archives, i.e., WIDE, CAIDA's archives, CRAWDAD, and NTTT.”
Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions (2019, background): “For example in [172], a wireless network data resource is open for the research community.”