Machine Learning Based Indoor Localization using Wi-Fi and Smartphone
Wi-Fi based indoor positioning with the help of access points and smart devices have become an integral part in finding a device or a person’s location. Wi-Fi based indoor localization technology has been among the most attractive field for researchers for a number of years. In this paper, we have...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2020-07-01
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| Series: | JISR on Computing |
| Subjects: | |
| Online Access: | https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/73 |
| _version_ | 1828717983249203200 |
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| author | Zulqarnain Khokhar Murtaza Ahmed Siddiqi |
| author_facet | Zulqarnain Khokhar Murtaza Ahmed Siddiqi |
| author_sort | Zulqarnain Khokhar |
| collection | DOAJ |
| description |
Wi-Fi based indoor positioning with the help of access points and smart devices have become an integral part in finding a device or a person’s location. Wi-Fi based indoor localization technology has been among the most attractive field for researchers for a number of years. In this paper, we have presented Wi-Fi based in-door localization using three different machine-learning techniques. The three machine learning algorithms implemented and compared are Decision Tree, Random Forest and Gradient Boosting classifier. After making a fingerprint of the floor based on Wi-Fi signals, mentioned algorithms were used to identify device location at thirty different positions on the floor. Random Forest and Gradient Boosting classifier were able to identify the location of the device with accuracy higher than 90%. While Decision Tree was able to identify the location with accuracy a bit higher than 80%.
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| first_indexed | 2024-03-12T14:36:18Z |
| format | Article |
| id | doaj.art-84248c5e0f15435d9111c79453bf0768 |
| institution | Directory Open Access Journal |
| issn | 2412-0448 1998-4154 |
| language | English |
| last_indexed | 2024-03-12T14:36:18Z |
| publishDate | 2020-07-01 |
| publisher | Shaheed Zulfikar Ali Bhutto Institute of Science and Technology |
| record_format | Article |
| series | JISR on Computing |
| spelling | doaj.art-84248c5e0f15435d9111c79453bf07682023-08-17T06:44:55ZengShaheed Zulfikar Ali Bhutto Institute of Science and TechnologyJISR on Computing2412-04481998-41542020-07-0118110.31645/06Machine Learning Based Indoor Localization using Wi-Fi and SmartphoneZulqarnain KhokharMurtaza Ahmed Siddiqi Wi-Fi based indoor positioning with the help of access points and smart devices have become an integral part in finding a device or a person’s location. Wi-Fi based indoor localization technology has been among the most attractive field for researchers for a number of years. In this paper, we have presented Wi-Fi based in-door localization using three different machine-learning techniques. The three machine learning algorithms implemented and compared are Decision Tree, Random Forest and Gradient Boosting classifier. After making a fingerprint of the floor based on Wi-Fi signals, mentioned algorithms were used to identify device location at thirty different positions on the floor. Random Forest and Gradient Boosting classifier were able to identify the location of the device with accuracy higher than 90%. While Decision Tree was able to identify the location with accuracy a bit higher than 80%. https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/73Machine LearningRandom Forest |
| spellingShingle | Zulqarnain Khokhar Murtaza Ahmed Siddiqi Machine Learning Based Indoor Localization using Wi-Fi and Smartphone JISR on Computing Machine Learning Random Forest |
| title | Machine Learning Based Indoor Localization using Wi-Fi and Smartphone |
| title_full | Machine Learning Based Indoor Localization using Wi-Fi and Smartphone |
| title_fullStr | Machine Learning Based Indoor Localization using Wi-Fi and Smartphone |
| title_full_unstemmed | Machine Learning Based Indoor Localization using Wi-Fi and Smartphone |
| title_short | Machine Learning Based Indoor Localization using Wi-Fi and Smartphone |
| title_sort | machine learning based indoor localization using wi fi and smartphone |
| topic | Machine Learning Random Forest |
| url | https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/73 |
| work_keys_str_mv | AT zulqarnainkhokhar machinelearningbasedindoorlocalizationusingwifiandsmartphone AT murtazaahmedsiddiqi machinelearningbasedindoorlocalizationusingwifiandsmartphone |