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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 locations, 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.

 

Latest News

new version of CRAWDAD dataset - factory channel gain measurements - June 13, 2016

A new version of the init/factory dataset has been added to CRAWDAD.
init/factory

Contributed by Dimitri Block, Niels Hendrik Fliedner, Uwe Meier.

Measurement of the channel gain for multiple distances within a
factory environment. There are two new tracesets in this version.

If you do use these data, please let us know, and you can use the DOI
10.15783/C76S3K to do so. BibTeX and RIS are provided on the website.

Cheers,
Tristan

new CRAWDAD tool - simulator for opportunistic networks - April 26, 2016

A new tool has been added to CRAWDAD.
tools/simulate/uoi/adyton

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
management policies.

Contributed by Nikolaos Papanikos, Dimitrios-Georgios Akestoridis,
Evangelos Papapetrou.

We plan to release converted versions of several CRAWDAD datasets in
suitable form for Adyton and other simulators over the summer.

Cheers,
Tristan

new CRAWDAD dataset - fire department opportunistic network traces - April 12, 2016

A new dataset has been added to CRAWDAD.
oviedo/asturies-er

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
Melendi.

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.

Cheers,
Tristan