![](/images/graphics-bg.png)
An Efficient Normalized Rank Based SVM for Room Level Indoor WiFi Localization with Diverse Devices
المؤلفون المشاركون
Pei, Ling
Rezgui, Yasmine
Chen, Xin
Wen, Fei
Han, Chen
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-07-09
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
This paper proposes an efficient and effective WiFi fingerprinting-based indoor localization algorithm, which uses the Received Signal Strength Indicator (RSSI) of WiFi signals.
In practical harsh indoor environments, RSSI variation and hardware variance can significantly degrade the performance of fingerprinting-based localization methods.
To address the problem of hardware variance and signal fluctuation in WiFi fingerprinting-based localization, we propose a novel normalized rank based Support Vector Machine classifier (NR-SVM).
Moving from RSSI value based analysis to the normalized rank transformation based analysis, the principal features are prioritized and the dimensionalities of signature vectors are taken into account.
The proposed method has been tested using sixteen different devices in a shopping mall with 88 shops.
The experimental results demonstrate its robustness with no less than 98.75% correct estimation in 93.75% of the tested cases and 100% correct rate in 56.25% of cases.
In the experiments, the new method shows better performance over the KNN, Naïve Bayes, Random Forest, and Neural Network algorithms.
Furthermore, we have compared the proposed approach with three popular calibration-free transformation based methods, including difference method (DIFF), Signal Strength Difference (SSD), and the Hyperbolic Location Fingerprinting (HLF) based SVM.
The results show that the NR-SVM outperforms these popular methods.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rezgui, Yasmine& Pei, Ling& Chen, Xin& Wen, Fei& Han, Chen. 2017. An Efficient Normalized Rank Based SVM for Room Level Indoor WiFi Localization with Diverse Devices. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1189122
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rezgui, Yasmine…[et al.]. An Efficient Normalized Rank Based SVM for Room Level Indoor WiFi Localization with Diverse Devices. Mobile Information Systems No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1189122
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rezgui, Yasmine& Pei, Ling& Chen, Xin& Wen, Fei& Han, Chen. An Efficient Normalized Rank Based SVM for Room Level Indoor WiFi Localization with Diverse Devices. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1189122
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1189122
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
![](/images/ebook-kashef.png)
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
![](/images/kashef-image.png)