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Grant support

This work has been partially funded by Jaume I University "Pla de promoci ' o de la investigaci ' o 2017" program UJI-B2017-45, and program, and by the Spanish Ministry of Economy and Competitiveness through the "Proyectos I + D Excelencia" programme (TIN2015-70202-P). O ' scar Belmonte-Ferna ' ndez had a grant by the Spanish Ministry of Science, Innovation and Universities (PRX18/00123) for developing part of this work.

Analysis of institutional authors

Manuel, Jose Gines GimenezAuthor
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Proceedings Paper

Evaluation of crowdsourcing Wi-Fi radio map creation in a real scenario for AAL applications

Publicated to:2022 18th International Conference On Intelligent Environments (Ie). 30-36 - 2019-01-01 (), DOI: 10.1109/IE.2019.00005

Authors: Belmonte-Fernandez, Oscar; Gasco-Compte, Arturo; Sansano-Sansano, Emilio; Quinde, Mario; Manuel, Jose Gines Gimenez; Augusto, Juan Carlos

Affiliations

Middlesex Univ, Dept Comp Sci, London, England - Author
Univ Jaume 1, Dept Comp Languages & Syst, Castellon De La Plana, Spain - Author
Univ Jaume 1, Inst New Imaging Technol, Dept Comp Languages & Syst, Castellon De La Plana, Spain - Author

Abstract

Indoor location at room level plays a key role for providing useful services for Ambient Assisted Living (AAL) applications. Wi-Fi fingerprinting indoor location methods are extensively used due to the widespread availability of Wi-Fi infrastructures. A main drawback of Wi-Fi fingerprinting methods is the temporal cost involved in creating the radio maps. Crowdsourcing strategies have been presented as a way to minimize the cost of radio map creation. In this work, we present an extensive study of the issues involved when using crowdsourcing strategies for that purpose. Results provided by extensive experiments performed in a real scenario by three users during two weeks are presented. The main conclusions are: i) crowdsourcing data improves accuracy location in most studied cases; ii) accuracy of Wi-Fi fingerprinting methods decay along time; iii) device diversity is an important issue even when using the same device model.

Keywords
Crowd-sourcing datIndoor locationWi-fi fingerprinting

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.66, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-11, the following number of citations:

  • WoS: 1
  • Scopus: 7
Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-05-11:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 8 (PlumX).
Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: United Kingdom.