Weight-RSS: A Calibration-Free and Robust Method for WLAN-Based Indoor Positioning
Wi-Fi fingerprinting has become a promising solution for indoor positioning with the rapid deployment of WLAN and the growing popularity of mobile devices. In fingerprint-based positioning, the received signal strengths (RSS) from WLAN access points (APs) usually are regarded as positioning fingerpr...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/573582 |
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| _version_ | 1832547958952820736 |
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| author | Zengwei Zheng Yuanyi Chen Tao He Fei Li Dan Chen |
| author_facet | Zengwei Zheng Yuanyi Chen Tao He Fei Li Dan Chen |
| author_sort | Zengwei Zheng |
| collection | DOAJ |
| description | Wi-Fi fingerprinting has become a promising solution for indoor positioning with the rapid deployment of WLAN and the growing popularity of mobile devices. In fingerprint-based positioning, the received signal strengths (RSS) from WLAN access points (APs) usually are regarded as positioning fingerprint to label physical location. However, the RSS variance caused by heterogeneous devices and dynamic environmental status will significantly degrade the positioning accuracy. In this paper, we first show the RSS variance based on a real dataset and analyze the relation existing in the RSS raw values. Then, we utilize both the raw RSS values and their relation to construct a new stable and robust fingerprint for indoor positioning. Experiment results indicate that our method can solve the RSS variance problem without any manual calibration. |
| format | Article |
| id | doaj-art-f982aa9cf3e6477485b736d66555741d |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2015-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-f982aa9cf3e6477485b736d66555741d2025-02-03T06:42:59ZengWileyInternational Journal of Distributed Sensor Networks1550-14772015-04-011110.1155/2015/573582573582Weight-RSS: A Calibration-Free and Robust Method for WLAN-Based Indoor PositioningZengwei Zheng0Yuanyi Chen1Tao He2Fei Li3Dan Chen4 Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou 310000, China Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou 310000, China Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou 310000, China Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou 310000, ChinaWi-Fi fingerprinting has become a promising solution for indoor positioning with the rapid deployment of WLAN and the growing popularity of mobile devices. In fingerprint-based positioning, the received signal strengths (RSS) from WLAN access points (APs) usually are regarded as positioning fingerprint to label physical location. However, the RSS variance caused by heterogeneous devices and dynamic environmental status will significantly degrade the positioning accuracy. In this paper, we first show the RSS variance based on a real dataset and analyze the relation existing in the RSS raw values. Then, we utilize both the raw RSS values and their relation to construct a new stable and robust fingerprint for indoor positioning. Experiment results indicate that our method can solve the RSS variance problem without any manual calibration.https://doi.org/10.1155/2015/573582 |
| spellingShingle | Zengwei Zheng Yuanyi Chen Tao He Fei Li Dan Chen Weight-RSS: A Calibration-Free and Robust Method for WLAN-Based Indoor Positioning International Journal of Distributed Sensor Networks |
| title | Weight-RSS: A Calibration-Free and Robust Method for WLAN-Based Indoor Positioning |
| title_full | Weight-RSS: A Calibration-Free and Robust Method for WLAN-Based Indoor Positioning |
| title_fullStr | Weight-RSS: A Calibration-Free and Robust Method for WLAN-Based Indoor Positioning |
| title_full_unstemmed | Weight-RSS: A Calibration-Free and Robust Method for WLAN-Based Indoor Positioning |
| title_short | Weight-RSS: A Calibration-Free and Robust Method for WLAN-Based Indoor Positioning |
| title_sort | weight rss a calibration free and robust method for wlan based indoor positioning |
| url | https://doi.org/10.1155/2015/573582 |
| work_keys_str_mv | AT zengweizheng weightrssacalibrationfreeandrobustmethodforwlanbasedindoorpositioning AT yuanyichen weightrssacalibrationfreeandrobustmethodforwlanbasedindoorpositioning AT taohe weightrssacalibrationfreeandrobustmethodforwlanbasedindoorpositioning AT feili weightrssacalibrationfreeandrobustmethodforwlanbasedindoorpositioning AT danchen weightrssacalibrationfreeandrobustmethodforwlanbasedindoorpositioning |