Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning
Work in indoor positioning so far broadly relies on either signal propagation models or location fingerprinting. The former approach has inherent modelling complexity as a result of intervening walls and movement in the environment which, impacts the accuracy of such models. The latter approach on t...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE Computer Society
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/58322/ http://irep.iium.edu.my/58322/1/58322_Fuzzy%20logic%20based%20compensated%20Wi-Fi%20_complete.pdf http://irep.iium.edu.my/58322/2/58322_Fuzzy%20logic%20based%20compensated%20Wi-Fi%20_scopus.pdf |
| _version_ | 1848785091470295040 |
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| author | Olowolayemo, Akeem Koye Md Tap, Abu Osman Mantoro, Teddy |
| author_facet | Olowolayemo, Akeem Koye Md Tap, Abu Osman Mantoro, Teddy |
| author_sort | Olowolayemo, Akeem Koye |
| building | IIUM Repository |
| collection | Online Access |
| description | Work in indoor positioning so far broadly relies on either signal propagation models or location fingerprinting. The former approach has inherent modelling complexity as a result of intervening walls and movement in the environment which, impacts the accuracy of such models. The latter approach on the other hand, is acclaimed to give better accuracy. However, for it to be used, an added overhead of surveying history data of a calibration of every indoor environment is required. Moreover, if any of the mobile Access Points (APs) included in the surveyed history data is down for any reason, the result of the location fingerprinting approach is impacted. This work proposes an indoor location determination approach that uses Fuzzy Weighted Aggregation of Received Signal Strengths (RSS) of Wi-Fi signals with Compensated Weighted Attenuation Factor (CWAF) in the form of fuzzy weighted signal quality and noise. The results are compared with locations away from APs with actual physical measurement in the environmental location to verify accuracy. The performance of the proposed algorithm shows that if the normalized weighted signal strength is properly compensated with weighted signal quality and noise, the approach offers a more computationally efficient positioning with adequate accuracy for indoor localization. |
| first_indexed | 2025-11-14T16:47:38Z |
| format | Proceeding Paper |
| id | iium-58322 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:47:38Z |
| publishDate | 2014 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-583222017-09-11T09:31:39Z http://irep.iium.edu.my/58322/ Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning Olowolayemo, Akeem Koye Md Tap, Abu Osman Mantoro, Teddy QA Mathematics TJ Mechanical engineering and machinery Work in indoor positioning so far broadly relies on either signal propagation models or location fingerprinting. The former approach has inherent modelling complexity as a result of intervening walls and movement in the environment which, impacts the accuracy of such models. The latter approach on the other hand, is acclaimed to give better accuracy. However, for it to be used, an added overhead of surveying history data of a calibration of every indoor environment is required. Moreover, if any of the mobile Access Points (APs) included in the surveyed history data is down for any reason, the result of the location fingerprinting approach is impacted. This work proposes an indoor location determination approach that uses Fuzzy Weighted Aggregation of Received Signal Strengths (RSS) of Wi-Fi signals with Compensated Weighted Attenuation Factor (CWAF) in the form of fuzzy weighted signal quality and noise. The results are compared with locations away from APs with actual physical measurement in the environmental location to verify accuracy. The performance of the proposed algorithm shows that if the normalized weighted signal strength is properly compensated with weighted signal quality and noise, the approach offers a more computationally efficient positioning with adequate accuracy for indoor localization. IEEE Computer Society 2014 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/58322/1/58322_Fuzzy%20logic%20based%20compensated%20Wi-Fi%20_complete.pdf application/pdf en http://irep.iium.edu.my/58322/2/58322_Fuzzy%20logic%20based%20compensated%20Wi-Fi%20_scopus.pdf Olowolayemo, Akeem Koye and Md Tap, Abu Osman and Mantoro, Teddy (2014) Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning. In: 2nd International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013, 23-24 December, 2013, Kuching, Sarawak; Malaysia. http://ieeexplore.ieee.org/document/6836622/ 10.1109/ACSAT.2013.93 |
| spellingShingle | QA Mathematics TJ Mechanical engineering and machinery Olowolayemo, Akeem Koye Md Tap, Abu Osman Mantoro, Teddy Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning |
| title | Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning |
| title_full | Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning |
| title_fullStr | Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning |
| title_full_unstemmed | Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning |
| title_short | Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning |
| title_sort | fuzzy logic based compensated wi-fi signal strength for indoor positioning |
| topic | QA Mathematics TJ Mechanical engineering and machinery |
| url | http://irep.iium.edu.my/58322/ http://irep.iium.edu.my/58322/ http://irep.iium.edu.my/58322/ http://irep.iium.edu.my/58322/1/58322_Fuzzy%20logic%20based%20compensated%20Wi-Fi%20_complete.pdf http://irep.iium.edu.my/58322/2/58322_Fuzzy%20logic%20based%20compensated%20Wi-Fi%20_scopus.pdf |