A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm
The advances in Wi-Fi technology have encouraged the development of numerous indoor positioning systems. However, their performance varies significantly across different indoor environments, making it challenging to identify the most suitable system for all scenarios. To address this challenge, we p...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Journal of Indoor and Seamless Positioning and Navigation |
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| Online Access: | https://ieeexplore.ieee.org/document/10493073/ |
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| author | Xu Feng Khuong An Nguyen Zhiyuan Luo |
| author_facet | Xu Feng Khuong An Nguyen Zhiyuan Luo |
| author_sort | Xu Feng |
| collection | DOAJ |
| description | The advances in Wi-Fi technology have encouraged the development of numerous indoor positioning systems. However, their performance varies significantly across different indoor environments, making it challenging to identify the most suitable system for all scenarios. To address this challenge, we propose an algorithm that dynamically selects the most optimal Wi-Fi positioning model for each location. Our algorithm employs a machine learning weighted model selection algorithm trained on raw Wi-Fi received signal strength (RSS), raw Wi-Fi round-trip time (RTT) data, statistical RSS and RTT measures, and access point line-of-sight information. We tested our algorithm in four complex indoor environments, and compared its performance to traditional Wi-Fi indoor positioning models and state-of-the-art stacking models, demonstrating an improvement of up to 1.8 m on average. |
| format | Article |
| id | doaj-art-adecd6de2d034c81a0cf77b9b4150724 |
| institution | DOAJ |
| issn | 2832-7322 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Indoor and Seamless Positioning and Navigation |
| spelling | doaj-art-adecd6de2d034c81a0cf77b9b41507242025-08-20T02:57:19ZengIEEEIEEE Journal of Indoor and Seamless Positioning and Navigation2832-73222024-01-01215116510.1109/JISPIN.2024.338535610493073A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching AlgorithmXu Feng0https://orcid.org/0000-0003-2181-6220Khuong An Nguyen1https://orcid.org/0000-0001-6198-9295Zhiyuan Luo2https://orcid.org/0000-0002-3336-3751Department of Computer Science, Royal Holloway University of London, Surrey, U.K.Department of Computer Science, Royal Holloway University of London, Surrey, U.K.Department of Computer Science, Royal Holloway University of London, Surrey, U.K.The advances in Wi-Fi technology have encouraged the development of numerous indoor positioning systems. However, their performance varies significantly across different indoor environments, making it challenging to identify the most suitable system for all scenarios. To address this challenge, we propose an algorithm that dynamically selects the most optimal Wi-Fi positioning model for each location. Our algorithm employs a machine learning weighted model selection algorithm trained on raw Wi-Fi received signal strength (RSS), raw Wi-Fi round-trip time (RTT) data, statistical RSS and RTT measures, and access point line-of-sight information. We tested our algorithm in four complex indoor environments, and compared its performance to traditional Wi-Fi indoor positioning models and state-of-the-art stacking models, demonstrating an improvement of up to 1.8 m on average.https://ieeexplore.ieee.org/document/10493073/Indoor fingerprintingmodel switchingWi-Fi round-trip time (RTT) |
| spellingShingle | Xu Feng Khuong An Nguyen Zhiyuan Luo A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm IEEE Journal of Indoor and Seamless Positioning and Navigation Indoor fingerprinting model switching Wi-Fi round-trip time (RTT) |
| title | A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm |
| title_full | A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm |
| title_fullStr | A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm |
| title_full_unstemmed | A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm |
| title_short | A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm |
| title_sort | wi fi rss rtt indoor positioning model based on dynamic model switching algorithm |
| topic | Indoor fingerprinting model switching Wi-Fi round-trip time (RTT) |
| url | https://ieeexplore.ieee.org/document/10493073/ |
| work_keys_str_mv | AT xufeng awifirssrttindoorpositioningmodelbasedondynamicmodelswitchingalgorithm AT khuongannguyen awifirssrttindoorpositioningmodelbasedondynamicmodelswitchingalgorithm AT zhiyuanluo awifirssrttindoorpositioningmodelbasedondynamicmodelswitchingalgorithm AT xufeng wifirssrttindoorpositioningmodelbasedondynamicmodelswitchingalgorithm AT khuongannguyen wifirssrttindoorpositioningmodelbasedondynamicmodelswitchingalgorithm AT zhiyuanluo wifirssrttindoorpositioningmodelbasedondynamicmodelswitchingalgorithm |