Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor Positioning
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Other documents of the author: Mendoza-Silva, Germán Martín; Richter, Philipp; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Huerta, Joaquin
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Title
Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor PositioningAuthor (s)
Date
2018-01-16Publisher
MDPIBibliographic citation
MARTÍN MENDOZA-SILVA, Germán; RICHTER, Philipp; TORRES SOSPEDRA, Joaquín; LOHAN, Elena Simona; HUERTA, Joaquín. Long-Term WiFi Fingerprinting Dataset for Research on Robust Indoor Positioning. Data (2018), v. 3, issue 1,Type
info:eu-repo/semantics/articlePublisher version
http://www.mdpi.com/2306-5729/3/1/3Version
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Abstract
WiFi fingerprinting, one of the most popular methods employed in indoor positioning, currently faces two major problems: lack of robustness to short and long time signal changes and difficult reproducibility of new ... [+]
WiFi fingerprinting, one of the most popular methods employed in indoor positioning, currently faces two major problems: lack of robustness to short and long time signal changes and difficult reproducibility of new methods presented in the relevant literature. This paper presents a WiFi RSS (Received Signal Strength) database created to foster and ease research works that address the above-mentioned two problems. A trained professional took several consecutive fingerprints while standing at specific positions and facing specific directions. The consecutive fingerprints may enable the study of short-term signals variations. The data collection spanned over 15 months, and, for each month, one type of training datasets and five types of test datasets were collected. The measurements of a dataset type (training or test) were taken at the same positions and directions every month, in order to enable the analysis of long-term signal variations. The database is provided with supporting materials and software, which give more information about the collection environment and eases the database utilization, respectively. The WiFi measurements and the supporting materials are available at the Zenodo repository under the open-source MIT license [-]
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Data (2018), v. 3, issue 1Investigation project
1) Grant PREDOC/2016/55 by Universitat Jaume I; 2) Academy of Finland for funding parts of this work under project 303576, insure-project.org.; 3)Rights
info:eu-repo/semantics/openAccess
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