Abstract
This paper considers the fuzzy inference as position estimator for WLAN indoor environments, based on received signal strength measurements RSS. The proposal algorithm includes a fuzzy inference which uses the k-nearest neighbor classification in signal space, where the position of target node is calculated as a weighted combination of nearest fingerprints, where the weights are estimated using enhanced Takagi-Sugeno fuzzy controller with multivariable inputs and parameter identification with constrained optimization. The new developed technique is proposed to enhance the accuracy of position estimation in WLAN indoor environments.
Original language | English |
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Title of host publication | WCE 2015 - World Congress on Engineering 2015 |
Publisher | Newswood Limited |
Pages | 641-648 |
Number of pages | 8 |
Volume | 2217 |
ISBN (Electronic) | 9789881925343 |
Publication status | Published - 2015 |
Event | 2015 World Congress on Engineering, WCE 2015 - London, United Kingdom Duration: Jul 1 2015 → Jul 3 2015 |
Other
Other | 2015 World Congress on Engineering, WCE 2015 |
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Country/Territory | United Kingdom |
City | London |
Period | 7/1/15 → 7/3/15 |
Keywords
- Clustering
- Fuzzy logic
- RSS
- WLAN indoor positioning
ASJC Scopus subject areas
- Computer Science (miscellaneous)