last modified

2012-01-24

reason for most recent change

the initial version

release date

2012-01-24

date/time of measurement start

2010-03-01

date/time of measurement end

2010-03-20

website

www.crawdad.org/uiuc/uim

network type

802.11 infrastructure

network type

bluetooth

collection 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.

disruptions to data collection

The collected traces may have corrupted and broken info since the phones may not work reliably at all the times. This is the nature of trace collection, and we can not avoid it. Sometimes the user restarts the phone, and the trace gets broken.

error

The timestamps, both in filenames and inside the files, frequently don't match the actual time when the record was made.

• Klara Nahrstedt
  klara@illinois.edu
  University of Illinois
  Computer Science
  Professor
  Thomas M. Siebel Center for Computer Science, University of Illinois, MC258, 201 N. Goodwin Avenue, Urbana, IL 61801-2302
  217-244-6624
  217-244-6869
  wiki.engr.illinois.edu/display/monet/Klara+Nahrstedt
  
• Long Vu
  longvu2.uiuc@gmail.com
  University of Illinois
  Computer Science
  Ph.D.
  Thomas M. Siebel Center for Computer Science, University of Illinois, MC258, 201 N. Goodwin Avenue, Urbana, IL 61801-2302
  illinois.academia.edu/LongVu/About
  

The following papers are written by the providers of this dataset who may be able to provide more information:

• Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace
  Long Vu; Quang Do; K. Nahrstedt;
  In Pervasive Computing and Communications (PerCom), 2011 IEEE International Conference on (March 2011), pp. 54-62, doi:10.1109/percom.2011.5767595.
• Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace
  Long Vu; Quang Do; Klara Nahrstedt;
  Pervasive and Mobile Computing, Vol. 7, No. 6. (December 2011), pp. 690-704, doi:10.1016/j.pmcj.2011.07.004.
• 3R: Fine-grained encounter-based routing in Delay Tolerant Networks
  Long Vu; Quang Do; K. Nahrstedt;
  In World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011 IEEE International Symposium on a (June 2011), pp. 1-6, doi:10.1109/wowmom.2011.5986470.
• Joint Bluetooth/Wifi Scanning Framework for Characterizing and Leveraging People Movement in University Campus
  Long Vu; Klara Nahrstedt; Samuel Retika; Indranil Gupta;
  In Proceedings of the 13th ACM International Conference on Modeling, Analysis, and Simulation of Wireless and Mobile Systems (October 2010), pp. 257-265, doi:10.1145/1868521.1868563.

33 papers using this dataset can be found in our CiteULike library.

When writing a paper that uses CRAWDAD datasets, we would appreciate it if you could cite both the authors of the dataset and CRAWDAD itself, and identify the exact dataset using the appropriate version number. For this dataset, this citation would look like:

Klara Nahrstedt, Long Vu, CRAWDAD dataset uiuc/uim (v. 2012‑01‑24), downloaded from https://crawdad.org/uiuc/uim/20120124, https://doi.org/10.15783/C7HG6D, Jan 2012.

• Cite using BibTeX
• Cite using RIS

@misc{uiuc-uim-20120124,
    author = {Klara Nahrstedt and Long Vu},
    title = {{CRAWDAD} dataset uiuc/uim (v. 2012-01-24)},
    howpublished = {Downloaded from \url{https://crawdad.org/uiuc/uim/20120124}},
    doi = {10.15783/C7HG6D},
    month = jan,
    year = 2012
}

TY  - DATA
TI  - CRAWDAD dataset uiuc/uim (v. 2012-01-24)
UR  - https://crawdad.org/uiuc/uim/20120124
PY  - 2012/01/24/
AU  - Klara Nahrstedt
AU  - Long Vu
DO  - 10.15783/C7HG6D
ER  -

If you do not use the provided citation formats, please include a reference with the same information, as described in the CRAWDAD FAQ.