Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems
Nowadays, Wi-Fi fingerprinting-based positioning systems provide enterprises the ability to track their various resources more efficiently and effectively. The main idea behind fingerprinting is to build signal strength database of target area prior to location estimation. This process is called cal...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Inderscience
2019
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| Online Access: | http://psasir.upm.edu.my/id/eprint/82758/ http://psasir.upm.edu.my/id/eprint/82758/1/Wi-Fi%20received%20signal.pdf |
| _version_ | 1848859346475155456 |
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| author | Narzullaev, Anvar Selamat, Mohd Hasan Sharif, Khaironi Yatim Muminov, Zahriddin |
| author_facet | Narzullaev, Anvar Selamat, Mohd Hasan Sharif, Khaironi Yatim Muminov, Zahriddin |
| author_sort | Narzullaev, Anvar |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Nowadays, Wi-Fi fingerprinting-based positioning systems provide enterprises the ability to track their various resources more efficiently and effectively. The main idea behind fingerprinting is to build signal strength database of target area prior to location estimation. This process is called calibration and the positioning accuracy highly depends on calibration intensity. Unfortunately, calibration procedure requires huge amount of time and effort, and makes large scale deployments of Wi-Fi based indoor positioning systems non-trivial. In this research we present a novel location estimation algorithm for Wi-Fi based indoor positioning systems. The proposed algorithm combines signal sampling and hyperbolic location estimation techniques to estimate the location of mobile users. The algorithm achieves cost-efficiency by reducing the number of fingerprint measurements while providing reliable location accuracy. Moreover, it does not require any additional hardware upgrades to the existing network infrastructure. Experimental results show that the proposed algorithm with easy-to-build signal strength database performs more accurate than conventional signal strength-based methods. |
| first_indexed | 2025-11-15T12:27:53Z |
| format | Article |
| id | upm-82758 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:27:53Z |
| publishDate | 2019 |
| publisher | Inderscience |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-827582020-08-26T09:03:43Z http://psasir.upm.edu.my/id/eprint/82758/ Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems Narzullaev, Anvar Selamat, Mohd Hasan Sharif, Khaironi Yatim Muminov, Zahriddin Nowadays, Wi-Fi fingerprinting-based positioning systems provide enterprises the ability to track their various resources more efficiently and effectively. The main idea behind fingerprinting is to build signal strength database of target area prior to location estimation. This process is called calibration and the positioning accuracy highly depends on calibration intensity. Unfortunately, calibration procedure requires huge amount of time and effort, and makes large scale deployments of Wi-Fi based indoor positioning systems non-trivial. In this research we present a novel location estimation algorithm for Wi-Fi based indoor positioning systems. The proposed algorithm combines signal sampling and hyperbolic location estimation techniques to estimate the location of mobile users. The algorithm achieves cost-efficiency by reducing the number of fingerprint measurements while providing reliable location accuracy. Moreover, it does not require any additional hardware upgrades to the existing network infrastructure. Experimental results show that the proposed algorithm with easy-to-build signal strength database performs more accurate than conventional signal strength-based methods. Inderscience 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82758/1/Wi-Fi%20received%20signal.pdf Narzullaev, Anvar and Selamat, Mohd Hasan and Sharif, Khaironi Yatim and Muminov, Zahriddin (2019) Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems. International Journal of Information and Communication Technology, 14 (2). pp. 1-14. ISSN 1466-6642, ESSN: 1741-8070 10.1504/IJICT.2019.097688 |
| spellingShingle | Narzullaev, Anvar Selamat, Mohd Hasan Sharif, Khaironi Yatim Muminov, Zahriddin Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems |
| title | Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems |
| title_full | Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems |
| title_fullStr | Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems |
| title_full_unstemmed | Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems |
| title_short | Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems |
| title_sort | wi-fi received signal strength-based hyperbolic location estimation for indoor positioning systems |
| url | http://psasir.upm.edu.my/id/eprint/82758/ http://psasir.upm.edu.my/id/eprint/82758/ http://psasir.upm.edu.my/id/eprint/82758/1/Wi-Fi%20received%20signal.pdf |