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

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.

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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.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 5996/58322
Uncontrolled Keywords: - Indoor positioning, Received Signal Strength (RSS), Fuzzy Weighted Average, Compensated Weighted Attenuation Factor (CWAF).
Subjects: Q Science > QA Mathematics
T Technology > TJ Mechanical engineering and machinery
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology
Kulliyyah of Information and Communication Technology
Depositing User: Prof Dr ABU OSMAN MD TAP
Date Deposited: 11 Sep 2017 17:31
Last Modified: 11 Sep 2017 17:31
URI: http://irep.iium.edu.my/id/eprint/58322

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