- Citation Author(s):
- Submitted by:
- CRAWDAD Team
- Last updated:
- Tue, 08/06/2019 - 08:00
- Data Format:
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). Similar to the procedure described in (Vermeeren, 2013; Markakis et al., 2013), the exposimeter was placed at available position in the investigated rooms and were standing alone. It was, thus, not worn by adults. Also, no influence due to shielding occured, like when exposimeters are carried on the body (where underestimations up to 6.5 dB are possible according to Iskra et al. (2010)). During measurement period, all location were secured, and only authorized technical personnel that performed measurements had access to such places in order to provide measurement conditions of unperturbed field, according to EN 50492:2010 and EN 50413:2010. All measurements were made within the range of temperature and humidity stated by the manufacturer of the meter (www.satimo.com). Finally, during our measurement campaign, the networks were not forced to operate in a specific mode in order to observe traffic variations in real conditions. All results of measurements are in unit V/m (for electric field). In addition to the dataset,here is a link to the published research article based on the dataset analysis https://academic.oup.com/rpd/advance-article/doi/10.1093/rpd/ncz154/5531... DOI: 10.15783/c7-ry9z-m812 https://doi.org/10.15783/c7-ry9z-m812 EME Sp y 140 Measurements of RF Signals - one week measurements
date/time of measurement start: 2016-01-19
date/time of measurement end: 2016-09-04
collection environment: Indoor environment (private flats and public institutions).
network configuration: The following bands were measured: FM, TV3, TETRA, TV4 5, GSM900 UMTS uplink, GSM900 UMTS downlink, GSM1800 uplink, GSM1800 downlink, DECT, UMTS2100 uplink, UMTS2100 downlink, WiFi 2G, WIMax, WiFi 5G (still not employed in the country)
data collection methodology: Start time: 8 a.m. Stop time: 8 a.m. next day Sampling rate: 10 sec Duration: 24h per day Conditions of unperturbed, according to EN 50492:2010 and EN 50413:2010.
limitation: Despite easier applicability of exposimeters, limitations still exist. Changing the batteries of the exposimeters can cause incorrect fluctuations of the electric-field strength.
Please see under General Information
hole: Yes. Downloading data and changing batteries takes approximately 10 minutes. With 10 sec sampling interval, 60 samples at the end of measurements process were missing. The authors assumed similar behavior of networks operation process in those 10 minutes gap and copied last 60 samples recorded in that set to complete the number of samples to be 8640 per day.
- file: emespy-dataset.zip
- description: Please see under General Information
- measurement purpose: Educational Use, Network Performance Analysis
- methodology: Please see under General Information.
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.
Darko S. Suka, Predrag V. Pejovic, Mirjana I. Simic-Pejovic, ues/emespy, https://doi.org/10.15783/c7-ry9z-m812 , Date: 20190806
- emespy-dataset.zip (19.43 MB)
- ues-emespy-20190806.xml (7.30 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.