RSSI Based Indoor Localization with Reduced Feature Dimension
Yıl: 2022 Cilt: 10 Sayı: 1 Sayfa Aralığı: 106 - 109 Metin Dili: İngilizce DOI: 10.17694/bajece.956866 İndeks Tarihi: 26-07-2023
RSSI Based Indoor Localization with Reduced Feature Dimension
Öz: Wifi based indoor localization gains the interest of researchers for several purposes. Among various techniques, fingerprinting based on Wifi received signal strength indicator (RSSI) is a widely used feature in indoor localization because of its simplicity in implementation and minimal hardware require- ment conditions. However, the amount of access points (AP) at which the RSSI is measured from in the network increases the computational load. This paper presents an alternative approach for dimension reduction in RSSI based indoor localization. We focus on recognizing the building and floor of the test user which is a multi-class problem for both cases. In a multiple class problem, inter-class differences are obtained by Manhattan distance in pair-wise manner. From each pair calculation, top-25 and top-50 features with the largest variances are chosen and merged to generate the final feature set. The proposed algorithm is implemented and evaluated on UJIIndoorLoc dataset. Accord- ing to the outcomes, our method provides 99.1% accuracy for building and 82.8% accuracy for floor estimation
Anahtar Kelime: Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
- [1] W. Cui, L. Zhang, B. Li, J. Guo, W. Meng, H. Wang, and L. Xie, “Re- ceived signal strength based indoor positioning using a random vector functional link network,” IEEE Transactions on Industrial Informatics, vol. 14, no. 5, pp. 1846–1855, 2018.
- [2] K. Lee, Y. Nam, and S. D. Min, “An indoor localization solution using bluetooth rssi and multiple sensors on a smartphone,” Multimedia Tools and Applications, vol. 77, pp. 1–20, 05 2018.
- [3] F. Seco and A. R. Jim ́enez, “Smartphone-based cooperative indoor localization with rfid technology,” Sensors, vol. 18, no. 1, 2018. [Online]. Available: https://www.mdpi.com/1424-8220/18/1/266
- [4] Z. Liu, L. Zhang, Q. Liu, Y. Yin, L. Cheng, and R. Zimmer- mann, “Fusion of magnetic and visual sensors for indoor localization: Infrastructure-free and more effective,” IEEE Transactions on Multime- dia, vol. 19, no. 4, pp. 874–888, 2017.
- [5] H. Zhang, K. Liu, F. Jin, L. Feng, V. Lee, and J. Ng, “A scalable indoor localization algorithm based on distance fitting and fingerprint mapping in wi-fi environments,” Neural Computing and Applications, vol. 32, 05 2020.
- [6] I. Alshami, N. Ahmad, and S. Sahibuddin, “Automatic wlan fingerprint radio map generation for accurate indoor positioning based on signal path loss model,” vol. 10, pp. 17 930–17 936, 01 2015.
- [7] S.-Y. Jung, S. Hann, and C.-S. Park, “Tdoa-based optical wireless indoor localization using led ceiling lamps,” IEEE Transactions on Consumer Electronics, vol. 57, no. 4, pp. 1592–1597, 2011.
- [8] J. Torres-Sospedra, R. Montoliu, A. Mart ́ınez-Us ́o, J. P. Avariento, T. J. Arnau, M. Benedito-Bordonau, and J. Huerta, “Ujiindoorloc: A new multi-building and multi-floor database for wlan fingerprint-based indoor localization problems,” in 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2014, pp. 261–270.
- [9] M. Nowicki and J. Wietrzykowski, “Low-effort place recognition with wifi fingerprints using deep learning,” 11 2016.
- [10] M. Ibrahim, M. Torki, and M. ElNainay, “Cnn based indoor localization using rss time-series,” in 2018 IEEE Symposium on Computers and Communications (ISCC), 2018, pp. 01 044–01 049.
- [11] K. S. Kim, S. Lee, and K. Huang, “A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on wi-fi fingerprinting,” Big Data Analytics, vol. 3, 04 2018.
- [12] K. A. Nguyen, “A performance guaranteed indoor positioning system using conformal prediction and the wifi signal strength,” Journal of Information and Telecommunication, vol. 1, no. 1, pp. 41–65, 2017.
- [13] A. Bosch, A. Zisserman, and X. Munoz, “Image classification using random forests and ferns,” in 2007 IEEE 11th International Conference on Computer Vision, 2007, pp. 1–8.
| APA | YILDIRIM M (2022). RSSI Based Indoor Localization with Reduced Feature Dimension. , 106 - 109. 10.17694/bajece.956866 |
| Chicago | YILDIRIM Mustafa Eren RSSI Based Indoor Localization with Reduced Feature Dimension. (2022): 106 - 109. 10.17694/bajece.956866 |
| MLA | YILDIRIM Mustafa Eren RSSI Based Indoor Localization with Reduced Feature Dimension. , 2022, ss.106 - 109. 10.17694/bajece.956866 |
| AMA | YILDIRIM M RSSI Based Indoor Localization with Reduced Feature Dimension. . 2022; 106 - 109. 10.17694/bajece.956866 |
| Vancouver | YILDIRIM M RSSI Based Indoor Localization with Reduced Feature Dimension. . 2022; 106 - 109. 10.17694/bajece.956866 |
| IEEE | YILDIRIM M "RSSI Based Indoor Localization with Reduced Feature Dimension." , ss.106 - 109, 2022. 10.17694/bajece.956866 |
| ISNAD | YILDIRIM, Mustafa Eren. "RSSI Based Indoor Localization with Reduced Feature Dimension". (2022), 106-109. https://doi.org/10.17694/bajece.956866 |
| APA | YILDIRIM M (2022). RSSI Based Indoor Localization with Reduced Feature Dimension. Balkan Journal of Electrical and Computer Engineering, 10(1), 106 - 109. 10.17694/bajece.956866 |
| Chicago | YILDIRIM Mustafa Eren RSSI Based Indoor Localization with Reduced Feature Dimension. Balkan Journal of Electrical and Computer Engineering 10, no.1 (2022): 106 - 109. 10.17694/bajece.956866 |
| MLA | YILDIRIM Mustafa Eren RSSI Based Indoor Localization with Reduced Feature Dimension. Balkan Journal of Electrical and Computer Engineering, vol.10, no.1, 2022, ss.106 - 109. 10.17694/bajece.956866 |
| AMA | YILDIRIM M RSSI Based Indoor Localization with Reduced Feature Dimension. Balkan Journal of Electrical and Computer Engineering. 2022; 10(1): 106 - 109. 10.17694/bajece.956866 |
| Vancouver | YILDIRIM M RSSI Based Indoor Localization with Reduced Feature Dimension. Balkan Journal of Electrical and Computer Engineering. 2022; 10(1): 106 - 109. 10.17694/bajece.956866 |
| IEEE | YILDIRIM M "RSSI Based Indoor Localization with Reduced Feature Dimension." Balkan Journal of Electrical and Computer Engineering, 10, ss.106 - 109, 2022. 10.17694/bajece.956866 |
| ISNAD | YILDIRIM, Mustafa Eren. "RSSI Based Indoor Localization with Reduced Feature Dimension". Balkan Journal of Electrical and Computer Engineering 10/1 (2022), 106-109. https://doi.org/10.17694/bajece.956866 |
