CRAWDAD intel/placelab

Citation Author(s):
Anthony
LaMarca
Intel Research Seattle
Yatin
Chawathe
Intel Research Seattle
Jeffrey
Hightower
Google
Gaetano
Borriello
University of Washington
Submitted by:
CRAWDAD Team
Last updated:
Thu, 11/09/2006 - 08:00
DOI:
10.15783/C7KS30
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License:
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Abstract 

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

collection environment: The accuracy of Place Lab depend on the number and mix of beacons in the environment, making it difficult to make absolute statements about the system's performance. To quantify the accuracy of Place Lab and how they vary by area, we measured both 802.11 beacon density and corresponding Place Lab accuracy in an urban, a residential and a suburban area.

network configuration: For each area (see the traceset included), we drove around the areas with a laptop with an Orinoco 802.11 interface, a GPS unit  (Wired Garmin Rhino GPS unit), and a Nokia 6600 cell phone.

data collection methodology: We collected 802.11 and GSM beacons periodically using Place Lab software. We also took GPS readings for measuring "ground truth" location to be used for accuracy estimation. Total trace duration is approximately 2 hours, with around 55,000 total readings.

Traceset

 

intel/placelab/placelab

Place Lab traceset for location accuracy analysis.

  • file: pervasive05_traces.tar.gz
  • measurement purpose: Location-aware Computing
  • methodology: For each locale (see the traces included - downtown, ravenna, and kirkland), we drove around the areas for sixty minutes with a laptop, a GPS unit, and a Nokia 6600 cell phone. 802.11 scans were performed at 4Hz using an Orinoco 802.11 interface in the laptop. GPS readings were taken at approximately 1Hz using an external serial GPS unit. Finally, the GSM measurements were taken at 1Hz by the Nokia 6600 and relayed to the laptop via Bluetooth4. At all times we tried to navigate within areas in which GPS lock would not be lost as GPS forms the round truth location to be used to estimate beacon positions and Place Lab's accuracy.
  • limitation: Unfortunately, our Nokia cell phones only allow us to know the ID of the current cell tower with which the phone is associated, making it impossible to learn the full set of towers in range. While this allows us to know if coverage is available, it does not let us learn about density or Place Lab's accuracy if all towers in range were known. Thus all GSM-based Place Lab results are calculated using the single available cell ID.

intel/placelab/placelab Traces

  • downtown: Place Lab log collected from Downtown, Seattle.
    • configuration: Collected from Downtown Seattle - a mix of commercial and residential urban high-rises.
    • format: File names are as follows: downtown{no}.{month}.{day}.{year}.txt

- no: serial number 

- month, day, year: measurement start date in MM.DD.YY format 

All files are in the Place Lab log format. 

(For documentation on the log format and tools 

that can parse them, visit http://www.placelab.org )

  • ravenna: Place Lab log collected from Seattle's Ravenna neighborhood.
    • configuration: Collected from Seattle's Ravenna neighborhood - a medium-density residential neighborhood
    • format: File names are as follows: ravenna{no}.{month}.{day}.{year}.txt

- no: serial number 

- month, day, year: measurement start date in MM.DD.YY format 

All files are in the Place Lab log format. 

(For documentation on the log format and tools 

that can parse them, visit http://www.placelab.org )

  • kirklandPlace Lab log collected from Kirkland, Washington.
    • configuration: Collected from Kirkland, Washington - a sparse suburb of single-family homes
    • format: File names are as follows: kirkland{no}.{month}.{day}.{year}.txt

- no: serial number 

- month, day, year: measurement start date in MM.DD.YY format 

All files are in the Place Lab log format. 

(For documentation on the log format and tools 

that can parse them, visit http://www.placelab.org )

Instructions: 

The files in this directory are a CRAWDAD dataset hosted by IEEE DataPort. 

About CRAWDAD: the Community Resource for Archiving Wireless Data At Dartmouth is a data resource for the research community interested in wireless networks and mobile computing. 

CRAWDAD was founded at Dartmouth College in 2004, led by Tristan Henderson, David Kotz, and Chris McDonald. CRAWDAD datasets are hosted by IEEE DataPort as of November 2022. 

Note: Please use the Data in an ethical and responsible way with the aim of doing no harm to any person or entity for the benefit of society at large. Please respect the privacy of any human subjects whose wireless-network activity is captured by the Data and comply with all applicable laws, including without limitation such applicable laws pertaining to the protection of personal information, security of data, and data breaches. Please do not apply, adapt or develop algorithms for the extraction of the true identity of users and other information of a personal nature, which might constitute personally identifiable information or protected health information under any such applicable laws. Do not publish or otherwise disclose to any other person or entity any information that constitutes personally identifiable information or protected health information under any such applicable laws derived from the Data through manual or automated techniques. 

Please acknowledge the source of the Data in any publications or presentations reporting use of this Data. 

Citation:

Anthony LaMarca, Yatin Chawathe, Jeffrey Hightower, Gaetano Borriello, intel/placelab, https://doi.org/10.15783/C7KS30 , Date: 20041217

Dataset Files

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Documentation

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File intel-placelab-readme.txt1.61 KB

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.