Fuzzy classifier ensembles for hierarchical WiFi-based semantic indoor localization

被引：19

作者：

Hernandez, Noelia ^{[1
]}

Alonso, Jose M. ^{[2
]}

Ocana, Manuel ^{[1
]}

机构：

[1] Univ Alcala, Alcala De Henares Madrid 28871, Spain

[2] Univ Santiago de Compostela, E-15782 Santiago De Compostela G, Spain

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2017年 / 90卷

关键词：

Indoor localization; WiFi; Fingerprinting; Fuzzy logic; Classification; Ensembles; LOCATION; SYSTEM; ENVIRONMENTS; AWARE;

D O I：

10.1016/j.eswa.2017.08.007

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The number of applications for smartphones and tablets is growing exponentially in the last years. Many of these applications are supported by the so-called Location Based Services, which are expected to provide reliable real-time localization anytime and anywhere, no matter either outdoors or indoors. Even though outdoors world-wide localization has been successfully developed through the well-known Global Navigation Satellite System technology, its counterpart large-scale deployment indoors is not available yet. In previous work, we have already introduced a novel technology for indoor localization supported by a WiFi fingerprint approach. In this paper, we describe how to enhance such approach through the combination of hierarchical localization and fuzzy classifier ensembles. It has been tested and validated at the University of Edinburgh, yielding promising results. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：394 / 404

页数：11

共 71 条

[1] Indoor Localization and Guidance using Portable Smartphones [J].

Al Hammadi, Omran ;

Al Hebsi, Ahmed ;

Zemerly, M. Jamal ;

Ng, Jason W. P. .

2012 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY WORKSHOPS (WI-IAT WORKSHOPS 2012), VOL 3, 2012, :337-341

[2] Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors [J].

Alonso, Jose M. ;

Ocana, Manuel ;

Hernandez, Noelia ;

Herranz, Fernando ;

Llamazares, Angel ;

Sotelo, Miguel A. ;

Bergasa, Luis M. ;

Magdalena, Luis .

APPLIED SOFT COMPUTING, 2011, 11 (08) :4677-4691

[3]

Alonso JM, 2009, LECT NOTES COMPUT SC, V5717, P383, DOI 10.1007/978-3-642-04772-5_50

[4] Human activity recognition in indoor environments by means of fusing information extracted from intensity of WiFi signal and accelerations [J].

Alvarez-Alvarez, Alberto ;

Alonso, Jose M. ;

Trivino, Gracian .

INFORMATION SCIENCES, 2013, 233 :162-182

[5]

[Anonymous], 2004, Location-Based Services

[6]

Astrain J., 2006, Proceedings of the 4th ACM international workshop on Mobility management and wireless access, P84

[7]

Bahl P., 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), P775, DOI 10.1109/INFCOM.2000.832252

[8]

Benavente-Peces C, 2009, LECT NOTES COMPUT SC, V5597, P82, DOI 10.1007/978-3-642-02868-7_11

[9] Smart probabilistic fingerprinting for WiFi-based indoor positioning with mobile devices [J].

Bisio, Igor ;

Lavagetto, Fabio ;

Marchese, Mario ;

Sciarrone, Andrea .

PERVASIVE AND MOBILE COMPUTING, 2016, 31 :107-123

[10] A Trainingless WiFi Fingerprint Positioning Approach Over Mobile Devices [J].

Bisio, Igor ;

Cerruti, Matteo ;

Lavagetto, Fabio ;

Marchese, Mario ;

Pastorino, Matteo ;

Randazzo, Andrea ;

Sciarrone, Andrea .

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2014, 13 :832-835

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