دورية أكاديمية
A radiosity-based method to avoid calibration for Indoor Positioning Systems
| العنوان: | A radiosity-based method to avoid calibration for Indoor Positioning Systems |
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| المؤلفون: | Belmonte-Fernández, Óscar, Montoliu Colás, Raul, Torres-Sospedra, Joaquín, Sansano-Sansano, Emilio, Chia-Aguilar, Daniel |
| بيانات النشر: | Elsevier |
| سنة النشر: | 2018 |
| المجموعة: | Repositori Universitat Jaume I (Repositorio UJI) |
| مصطلحات موضوعية: | Indoor positioning, Radiosity, Classification algorithm, Machine learning |
| الوصف: | Due to the widespread use of mobile devices, services based on the users current indoor location are growing in significance. Such services are developed in the Machine Learning and Experst Systems realm, and ranges from guidance for blind people to mobile tourism and indoor shopping. One of the most used techniques for indoor positioning is WiFi fingerprinting, being its use of widespread WiFi signals one of the main reasons for its popularity, mostly on high populated urban areas. Most issues of this approach rely on the data acquisition phase; to manually sample WiFi RSSI signals in order to create a WiFi radio map is a high time consuming task, also subject to re-calibrations, because any change in the environment might affect the signal propagation, and therefore degrade the performance of the positioning system. The work presented in this paper aims at substituting the manual data acquisition phase by directly calculating the WiFi radio map by means of a radiosity signal propagation model. The time needed to acquire the WiFi radio map by means of the radiosity model dramatically reduces from hours to minutes when compared with manual acquisition. The proposed method is able to produce competitive results, in terms of accuracy, when compared with manual sampling, which can help domain experts develop services based on location faster. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | Expert Systems with Applications (2018), v. 105; 1) Spanish Ministry of Economy and Competitiveness through the “Proyectos I + D Excelencia” programme 620 (TIN2015-70202-P) and 2) Jaume I University “Research promotion plan 2017” programme (UJI-B2017-45).; https://www.sciencedirect.com/science/article/pii/S0957417418302112Test; BELMONTE FERNÁNDEZ, Óscar; MONTOLIU COLÁS, Raúl; TORRES-SOSPEDRA, Joaquín; SANSANO-SANSANO, Emilio; CHIA-AGUILAR, Daniel (2018). A radiosity-based method to avoid calibration for indoor positioning systems. Expert Systems with Applications, v. 105, p. 89-101; http://hdl.handle.net/10234/175947Test; https://doi.org/10.1016/j.eswa.2018.03.054Test |
| DOI: | 10.1016/j.eswa.2018.03.054 |
| الإتاحة: | https://doi.org/10.1016/j.eswa.2018.03.054Test http://hdl.handle.net/10234/175947Test |
| حقوق: | http://rightsstatements.org/vocab/CNE/1.0Test/ ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.78D455A5 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.eswa.2018.03.054 |
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