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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

two new CRAWDAD datasets - HTTP measurements over 802.11, 3G and LTE - June 19, 2015

Two new datasets have been added to CRAWDAD.

Measurements of HTTP requests over 802.11 in dense wireless classrooms


Measurements on real HTTP throughput via several 3G/LTE providers in

These datasets were contributed by Marat Zhanikeev. Thank you for your


new CRAWDAD dataset - 802.15.4 packet delivery traces - April 01, 2015

A new dataset has been added to CRAWDAD.

Packet delivery performance (packet loss, delay, throughput, energy
consumption) over a 802.15.4 link under vairous stack parameter
configurations for more than 6 months.

Contributed by Songwei Fu, Yan Zhang.

The data set includes measurements of the data delivery performance of
a WSN link in indoor scenario, where 4 major performance metrics,
namely energy, throughput, delay and loss, were measured over 6 months
under around 50 thousand parameter configurations of 7 key stack
parameters. The meta-data of transmission of nearly 200 million
packets are included in the dataset.

The dataset is used for a forthcoming ICDCS paper entitled "Experiment
Study for Multi-layer Parameter Configuration of WSN Links".


new CRAWDAD dataset - Netalyzr Android data - March 31, 2015

A new dataset has been added to CRAWDAD.

Mobile data collected using the Netalyzr for Android App.

Contributed by Narseo Vallina-Rodriguez, Srikanth Sundaresan,
Christian Kreibich, Nicholas Weaver, Vern Paxson.

This dataset was collected by the ICSI Netalyzr app for Android to
develop a characterization of how operational decisions, such as
network configurations, business models, and relationships between
operators introduce diversity in service quality and affect user
security and privacy. We delve in detail beyond the radio link and
into network configuration and business relationships in six
countries. We identify the widespread use of transparent middleboxes
such as HTTP and DNS proxies, analyzing how they actively modify user
traffic, compromise user privacy, and potentially undermine user
security. In addition, we identify network sharing agreements between
operators, highlighting the implications of roaming and characterizing
the properties of MVNOs, including that a majority are simply
rebranded versions of major operators. More broadly, our findings
using this data highlight the importance of considering higher-layer
relationships when seeking to analyze mobile traffic in a sound

The dataset is used for a forthcoming MobiSys paper entitled "Beyond
the Radio: Illuminating the Higher Layers of Mobile Networks".