CRAWDAD
The measurement results provided here are part of work on PhD thesis connected with measurement results variability reduction (main focus was on GSM/UMTS system. but other technologies were measured at the same time). All measurements were of indoor type. The duration of collecting data samples was 24h per day, with 10 seconds sampling interval. At some places it took one, two or four weeks to complete the measurements. Equipment used is the dosimeter (or exposimeter) EME Spy 140 (manufactured by Satimo).
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Detailed link quality information was collected over several days from the UCSB MeshNet for characterizing routing stability in wireless mesh networks.
last modified : 2007-02-15
release date : 2007-02-01
date/time of measurement start : 2006-04-01
date/time of measurement end : 2006-04-07
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Traces of Bluetooth encounters, opportunistic messaging, and social profiles of 76 users of MobiClique application at SIGCOMM 2009.
The dataset contains data collected by an opportunistic mobile social application, MobiClique. The application was used by 76 persons during SIGCOMM 2009 conference in Barcelona, Spain. The data sets include traces of Bluetooth device proximity, opportunistic message creation and dissemination, and the social profiles (friends and interests) of the participants.
date/time of measurement start: 2009-08-17
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This dataset includes the traces collected by wireless monitoring at the 62nd Internet Engineering Task Force (IETF) meeting held in Minneapolis, MN, March, 2005.
last modified : 2006-11-14
release date : 2005-10-19
date/time of measurement start : 2005-03-09
date/time of measurement end : 2005-03-10
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Dataset for evaluation of co-presence detection
We conducted a study with 126 subjects, over three months, collecting data from various sensors, that resulted in a multimodal dataset for co-presence detection. We publish a subset of the original data set in the period between 01.06.2018 and 15.06.2018 including Wi-Fi scans as proximity verification set, magnetometer as sensor data, the positions of Wi-Fi access points, and magnetometer's sensor hardware.
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MySignals dataset was collected by a network of approx. 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr) for a period of approximately 8 months. MySignal App records the received signal strength indicator (RSSI), in dBm, of the mobile serving cell, as well as their own location, through the GPS module of their smartphone and other contextual information (timestamp, deviceID etc.). Measurements and relevant information (e.g.
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To investigate whether a large-scale Bluetooth worm outbreak is viable in practice, we conducted controlled experiments and we gathered traces of Bluetooth activity in different urban environments to determine the feasibility of a worm infection
date/time of measurement start: 2005-11-16
date/time of measurement end: 2005-11-26
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Wireless contacts trace collected at the University Politehnica of Bucharest in the spring of 2012, using an application entitled HYCCUPS Tracer (http://hyccups.hpc.pub.ro), with the purpose of collecting contextual data from Android smartphones. It was run in the background and collected availability and mobile interaction information such as usage statistics, user activity, battery statistics, or sensor data, but it also gathered information about a device's encounters with other nodes or with wireless access points.
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