DOI: 10.21227/xyyp-g908
title: CRAWDAD uiuc/uim

description: This is the dataset of MACs of Bluetooth and Wi-Fi access points collected by the University of Illinois Movement (UIM) framework using Google Android phones.last modified : 2012-01-24release date : 2012-01-24date/time of measurement start : 2010-03-01date/time of measurement end : 2010-03-20collection environment : We release the set of Bluetooth and Wifi traces collected by 28 Google Android phone users for 3 weeks in March 2010. These people are staff, faculties, grads, and undergrads at University of Illinois.network configuration : Each UIM experiment phone encompasses a Bluetooth scanner and a Wi-Fi scanner capturing both Bluetooth MAC addresses and Wi-Fi access point MAC addresses in proximity of the phone.data collection methodology : The Bluetooth scanner periodically (e.g. every 60 seconds) scans the Bluetooth-enabled devices in the phone's proximity. The Wi-Fi scanner periodically (e.g. every 30 minutes) scans the Wi-Fi access points in the phone's proximity.sanitization : Detected MACs are hashed with SHA-1.limitation : You will see that the Bluetooth and Wi-Fi traces may be collected with different frequencies by different users. This is because we tune the frequency when doing trace collection. Higher frequency consumes a lot of energy, and the phone can not last more than 1.5 days. Thus, we have to lower the frequency. However, we can not contact all 28 participants at the same time to tune all the scanning frequencies. Some users are willing to charge their experiment phones a couple of times per day, then they accept higher scaning frequency. Others may not, then we have to lower the frequency for them.Tracesetuiuc/uim/bluetoothTraceset of Bluetooth traces collected from Android phone users at University of Illinois.description: This is a traceset of Bluetooth traces of ad hoc contacts collected by the UIM framework using Google Android phones.measurement purpose: User Mobility Characterization, Positioning Systems, Human Behavior Modeling, Content Distribution Evaluation, Localization, Opportunistic Connectivitymethodology: The Bluetooth scanner on the phone periodically scans the Bluetooth-enabled devices in the phone's proximity. The scanned results include the MAC addresses of the Bluetooth-enabled devices and the corresponding scanning time stamps. The scanning interval is set to 60 seconds to conserve the phone battery. The collected movement trace is stored at the local disk of the phone.sanitization: Detected MACs are hashed with SHA-1.uiuc/uim/bluetooth Traces2010: Bluetooth traces collected from Android phone users at University of Illinois in March 2010.configuration: We configure out scanners to run from 6 a.m. to 11 p.m. every day, instead of running the entire day. After 11 p.m., the scanners pause to conserve the battery and wake up at 6 a.m. the following day.format:For each user, there is a directory "btlog". In this directory, you will findtwo different file names:- Files starting with "s" are Bluetooth traces and "w" are Wi-Fi traces. - Bluetooth file: s60m3d20h9.9bd0a2dc47f35a4e904fac9aa3834d5e is the Bluetoothtrace collected with frequency of 60 seconds on 03/09/2010(m3d9) during9AM-10AM time period by the Google phone, whose hashed MAC value is9bd0a2dc47f35a4e904fac9aa3834d5e. This hashed MAC value can be used (withtraces collected by other Google phones in the trace) to determine whichphones are in the proximity of each other. In the file, you will seetimestamps and the lists of scanned Bluetooth MACs, which are hashed.uiuc/uim/wifiTraceset of Wi-Fi traces collected from Android phone users at University of Illinois.description: This is a traceset of ad hoc contacts and MACs of Wi-Fi access points collected by the UIM framework using Google Android phones.measurement purpose: User Mobility Characterization, Positioning Systems, Human Behavior Modeling, Content Distribution Evaluation, Localization, Opportunistic Connectivitymethodology: The Wi-Fi scanner on the phone periodically scans the Wi-Fi access points in the phone's proximity. The scanned results include the MAC addresses of the Wi-Fi access points and the corresponding scanning time stamps. The scanning interval is set to 30 minutes because in the campus environment people usually do not move too far too fast, and also to conserve the phone battery.sanitization: Detected MACs are hashed with SHA-1.uiuc/uim/wifi Traces2010: Wi-Fi traces collected from Android phone users at University of Illinois in March 2010.configuration: We configure out scanners to run from 6 a.m. to 11 p.m. every day, instead of running the entire day. After 11 p.m., the scanners pause to conserve the battery and wake up at 6 a.m. the following day.format:For each user, there is a directory "btlog". In this directory, you will findtwo different file names:- Files starting with "s" are Bluetooth traces and "w" are Wi-Fi traces. - Wi-Fi file: w_m30m4d8.9bd0a2dc47f35a4e904fac9aa3834d5e is the Wi-Fi tracecollected with the frequency of 30 minutes on 04/08/2010 by the Google phone,whose hashed mac value is 9bd0a2dc47f35a4e904fac9aa3834d5e. In the file, youwill see timestamps and the lists of scanned Wi-Fi MACs, which are hashed.Each Wi-Fi scan may result in several records with slightly differentscan times.