Welcome to CRAWDAD
CRAWDAD is the Community Resource for Archiving Wireless Data At Dartmouth,
a wireless network data resource for the research community. This archive
has the capacity to store wireless trace data from many contributing
and staff to develop better tools for collecting, anonymizing, and analyzing
the data. We work with community leaders to ensure that the archive meets
the needs of the research community.
CRAWDAD is grateful to its current and past sponsors.
- new CRAWDAD tool - simulator for opportunistic networks - April 26, 2016
A new tool has been added to CRAWDAD.
Adyton is an event-driven network simulator, written in C++, for
Opportunistic Networks (a.k.a. Delay-Tolerant Networks) that is
capable of processing contact traces. The Adyton simulator supports a
plethora of routing protocols and real-world contact traces, while
also providing several congestion control mechanisms and buffer
Contributed by Nikolaos Papanikos, Dimitrios-Georgios Akestoridis,
We plan to release converted versions of several CRAWDAD datasets in
suitable form for Adyton and other simulators over the summer.
- new CRAWDAD dataset - fire department opportunistic network traces - April 12, 2016
A new dataset has been added to CRAWDAD.
ONE connectivity traces extracted from GPS traces collected from the
regional Fire Department of Asturias, Spain.
Contributed by Sergio Cabrero, Roberto Garcia, Xabiel G. Garcia, David
If you use these data, please let us know, and you can use the DOI
10.15783/C7G88S to cite. BibTeX and RIS are provided on the website.
- Over 2,000 papers in the CRAWDAD library - April 11, 2016
There are now over 2,000 papers using CRAWDAD datasets or discussing
CRAWDAD listed in our CiteuLike library
Please let us know if you are using CRAWDAD datasets in your work. It
is useful for other CRAWDAD users, and also for us in justifying the
continued provision of the data archive. So if you don't see your name
in the list of authors here
then tell us about your work, or add your papers to the CiteULike
In particular please tell us if you are using CRAWDAD datasets to
write textbooks, as we have recently had some queries from textbook