CRAWDAD tuc/mysignals

Citation Author(s):
Emmanouil
Alimpertis
Technical University of Crete
Aggelos
Bletsas
Submitted by:
CRAWDAD Team
Last updated:
Wed, 10/30/2019 - 08:00
DOI:
10.15783/c7-3bk9-9t96
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License:
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Abstract 

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. c ell ID, downlink carrier frequency and mobile user location) are saved temporarily in a local sqlite DB and uploaded periodically at a central web server DB for permanent storage. The systems allowed crowdsourcing in an automated and user transparent-way. The systems allowed crowdsourcing in an automated and user transparent-way and no personal identifiers were collected. The published data contains approximately 3 million GSM measurements and they are a subset of the entire MySignals dataset, utilized primarily for RF Source (e.g. GSM Base Station) localization case study and localization algorithm developme nt. The reported measurements were collected in Chania, Greece for one central Base Stations (BS) for a major Greek Cellular provider. The massive dataset along with the novel Particle Filtering localization algorithm, allowed RF source location estimation error on the order of 50m, with the phones-sensors located in a grid of approx. 1000m x 1000m. Although the reported data were primarily used for BS localization, they were also used as mobile coverage maps; for example, cove rage holes were able to be discovered. At a glance, each of the recorded measurements contains the following fields: timestamp, iPhoneUUID, RSS1, RSS5, latitude, longitude, accuracy, cellID, lac, mac, arfcn, etc. DOI: 10.15783/c7-3bk9-9t96 http://doi.org/10.15783/c7-3bk9-9t96 Start date: 2012-09-01, end date: 2013-04-15

last modified :

2019-10-30

nickname :

mysignals

institution :

tuc

release date :

2019-10-30

date/time of measurement start :

2012-09-01

date/time of measurement end :

2013-04-15

Traceset

tuc/mysignals/mysignals-dataset

My Signals dataset was collected by a network of approximately 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr)

  • files: mysignals_dataset.zip
  • description: MySignals dataset was collected by a newtork of approximately 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr) for a period of approximately 8 months. Start date: 2012-09-01 end date: 2013-04-15
  • measurement purpose: ARRAY(0x55bf15b381e8)
  • last modified: 2019-10-30
  • dataname: tuc/mysignals/mysignals-dataset
  • version: 20191030
  • change: the initial version
  • release date: 2019-10-30
  • date/time of measurement start: 2012-09-01
  • date/time of measurement end: 2013-04-15
  • nickname: mysignals-dataset

tuc/mysignals/mysignals-dataset Traces

  • mysignals-dataset:
  • last modified: 2019-10-30
  • dataname: tuc/mysignals/mysignals-dataset
  • version: 20191030
  • change: the initial version
  • release date: 2019-10-30
  • date/time of measurement start: 2012-09-01
  • date/time of measurement end: 2013-04-15
  • url: /download/tuc/mysignals/mysignals-dataset/mysignals_dataset.zip
  • nickname: mysignals-dataset
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:

Emmanouil Alimpertis, Aggelos Bletsas, tuc/mysignals, https://doi.org/10.15783/c7-3bk9-9t96 , Date: 20191030

Dataset Files

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Documentation

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File tuc-mysignals-readme.txt1.58 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.