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...

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Main Authors:	Olowolayemo, Akeem Koye, Md Tap, Abu Osman, Mantoro, Teddy
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE Computer Society 2014
Subjects:	QA Mathematics TJ Mechanical engineering and machinery
Online Access:	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

id	iium-58322
recordtype	eprints
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 Conference or Workshop Item 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA Mathematics TJ Mechanical engineering and machinery
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
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.
format	Conference or Workshop Item
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
title	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_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_sort	fuzzy logic based compensated wi-fi signal strength for indoor positioning
publisher	IEEE Computer Society
publishDate	2014
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
first_indexed	2023-09-18T21:22:27Z
last_indexed	2023-09-18T21:22:27Z
_version_	1777411972609867776

Fuzzy logic based compensated Wi-Fi signal strength for indoor positioning

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