Wireless Networking

These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

Questions about CRAWDAD? See our CRAWDAD FAQ. Interested in submitting your dataset to the CRAWDAD collection? Get started, by submitting an Open Access Dataset.

Accelerometer samples collected through Android phones when driven on different vehicles. 

This dataset consists of accelerometer samples collected through Android phones when driven on different vehicles. The dataset consists of 678 Km of drive data, which involved 22 different drivers, 5 different types of vehicles (bus, auto rickshaw, cycle rickshaw, motorcycle, and car) and 4 smartphones.

date/time of measurement start: 2012-03-12

date/time of measurement end: 2013-03-23


GSM 900 MHz measurements from a spectrum analyzer combined with GPS measurements taken in an urban macrocell environment.


Dataset of RF device usage measurements collected using a signal analyzer for use by Airshark.

This is a dataset of RF device usage measurements collected at University of Wisconsin-Madison for demonstration of functionality of Airshark.

date/time of measurement start: 2011-04-15

date/time of measurement end: 2011-05-06


Dataset of routing and topology traces collected during MANIAC Challenge.

The dataset comprises routing and topology traces collected during the Mobile Ad hoc Networks Interoperability And Cooperation (MANIAC) Challenges, held on November 25-26th 2007 in conjunction with IEEE Globecom 2007 and on March 8, 2009 in conjunction with IEEE PerCom 2009.

date/time of measurement start: 2007-11-25

date/time of measurement end: 2007-11-26


This dataset provides Channel Impulse Response (CIR) measurements from standard-compliant IEEE 802.11ay packets to validate Integrated Sensing and Communication (ISAC) methods. The CIR sequences contain reflections of the transmitted packets on people moving in an indoor environment. They are collected with a 60 GHz software-defined radio experimentation platform based on the IEEE 802.11ay Wi-Fi standard, which is not affected by frequency offsets by operating in full-duplex mode.
The dataset is divided into two parts:


Location-aware dataset collected using Place Lab software.

These traces contain 802.11, GSM and GPS trace data collected using Place Lab software, for 3 different neighborhoods in the Seattle metro area. Total trace duration is approximately 2 hours, with around 55,000 total readings.

date/time of measurement start: 2004-09-26

date/time of measurement end: 2004-09-29


Measurements reflect connectivity and UDP/TCP throughput data collected from a grid of six nodes placed within three different houses.

date/time of measurement start: 2005-06-29

date/time of measurement end: 2005-07-03

collection environment: Measurements reflect connectivity and UDP/TCP throughput  data collected from a grid of six nodes placed within three different houses, 2 in the United States (denoted ushome1 and ushome2) and 1 in the United Kingdom 


This dataset is a collection of phase samples retrieved from an in-house design for a Bluetooth Low Energy (BLE) 5.1 based receiver, using an 8-element Uniform Circular Array (UCA). The purpose of the dataset was the implementation of localization techniques based on the use of Angle-of-Arrival data, possible due to the BLE 5.1 Direction Finding (DF) features.


Time- and frequency-variant 2.4 GHz ISM band channel gain. 

The time- and frequency-variant channel gain is measured in the presence of an industrial cyclic moving robot arm obstacle for four coexisting wireless nodes for the whole license-free 2.4-GHz-ISM band with a time- and frequency-resolution of 110 microseconds and 1 MHz, respectively. Results for two links are given.

date/time of measurement start: 2015-05-11

date/time of measurement end: 2015-05-11


Cause-Specific Episodes of Active Scanning. The dataset includes packet captures collected from controlled experiments with various devices. The dataset captures active scanning behavior of the devices.

Name of each folder represents the name of the cause of active scanning.

For details please refer to our papers - Learning to Rescue WiFi Networks from Unnecessary Active Scans, WoWMoM 2019.

data collection methodology: Controlled