A fuzzy logic approach to localisation in wireless local area networks

Alakhras, Marwan ORCID: 0000-0002-9943-3249 (2020). A fuzzy logic approach to localisation in wireless local area networks. University of Birmingham. Ph.D.

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This thesis examines the use and value of fuzzy sets, fuzzy logic and fuzzy inference in wireless positioning systems and solutions. Various fuzzy-related techniques and methodologies are reviewed and investigated, including a comprehensive review of fuzzy-based positioning and localisation systems. The thesis is aimed at the development of a novel positioning technique which enhances well-known multi-nearest-neighbour (kNN) and fingerprinting algorithms with received signal strength (RSS) measurements. A fuzzy inference system is put forward for the generation of weightings for selected nearest-neighbours and the elimination of outliers. In this study, Monte Carlo simulations of a proposed multivariable fuzzy localisation (MVFL) system showed a significant improvement in the root mean square error (RMSE) in position estimation, compared with well-known localisation algorithms. The simulation outcomes were confirmed empirically in laboratory tests under various scenarios. The proposed technique uses available indoor wireless local area network (WLAN) infrastructure and requires no additional hardware or modification to the network, nor any active user participation. The thesis aims to benefit practitioners and academic researchers of system positioning.

Type of Work: Thesis (Doctorates > Ph.D.)
Award Type: Doctorates > Ph.D.
Constantinou, ConstantinosUNSPECIFIEDorcid.org/0000-0002-9484-6474
Oussalah, MouradUNSPECIFIEDorcid.org/0000-0002-4422-8723
Hussein, MousaUNSPECIFIEDorcid.org/0000-0003-2186-9883
Licence: All rights reserved
College/Faculty: Colleges (2008 onwards) > College of Engineering & Physical Sciences
School or Department: School of Engineering, Department of Electronic, Electrical and Systems Engineering
Funders: None/not applicable
Subjects: A General Works > AI Indexes (General)
Q Science > Q Science (General)
Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
URI: http://etheses.bham.ac.uk/id/eprint/11069


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