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Exploring Wi-Fi Fingerprinting Performance in Campus
University West, Department of Engineering Science.
University West, Department of Engineering Science.
2024 (English)Independent thesis Basic level (university diploma), 5 credits / 7,5 HE creditsStudent thesisAlternative title
Utforska Wi-Fi-fingeravtryck Föreställning på campus (Swedish)
Abstract [en]

Wi-Fi fingerprinting provides precise and cheap indoor positioning, as GPS does for outdoor environments. This technology addresses the increasing need for precise localization indoors and presents satisfying solutions for organisations in need of that feature.

This thesis aims to explore the performance of Wi-Fi fingerprinting technology regarding positioning, at University West Campus, Block-D, a technology that works like GPS but for localization inside buildings. The technology depends on Wi-Fi signals and signals strength, which was methodically gathered using a smartphone app, then analysed using Python scripts.

The study sheds light on the key factors influencing the efficacy of Wi-Fi fingerprinting, including number of Access Points, obstacles, and the distribution reference points. This technology appears to be a promising solution for indoor positioning in Access pointrich sites, providing cost-effective localization with no compromise on accuracy.

This study not only discovers the functional application of the technology, but also presents actionable step by step recommendations for its effective deployment in educational environments, paving the way for campuswide indoor positioning systems.

Abstract [sv]

Wi-Fi-fingerprinting ger en precis och billig inomhus-positionering, liksom det GPS gör men för utomhusmiljöer. Denna teknologi adresserar det ökande behovet av god lokaliseringsförmåga för inomhus miljöer, och presenterar goda lösningar för organisationer i behov av den funktionen.

Denna rapport avser att utforska prestandan hos Wi-Fi-fingerprinting när det gäller positionering, vid Högskolan Väst, D-huset, en teknik som fungerar som GPS men för lokalisering inomhus. Tekniken är beroende av Wi-Fi-signaler och signalstyrka, som enligt en noggrant uppgjord plan, samlades in med hjälp av en smartphoneapp, och sedan analyserades med en Pythonskript.

Studien belyser de viktigaste faktorerna som kan påverka effektiviteten hos Wi-Fi-fingerprinting, inklusive antalet accesspunkter, byggnadsmaterial, och spridningen av referenspunkter.

Denna teknologi verkar vara en bra lösning för inomhuspositionering i platser med många accesspunkter, vilket ger en billig och effektiv lokaliseringsförmåga utan att kompromissa med noggrannheten. Denna studie upptäcker inte bara den praktiska användningen av tekniken, utan presenterar också handlingsbara instruktioner för dess effektiva implementering i skolmiljöer, vilket öppnar vägen för att implementera inomhuspositioneringssystem för områden i campus storlek.

Place, publisher, year, edition, pages
2024. , p. 25
Keywords [en]
Wi-Fi fingerprinting, Wi-Fi positioning, indoor positioning, IPS, Block-D
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:hv:diva-22012Local ID: EXN300OAI: oai:DiVA.org:hv-22012DiVA, id: diva2:1877127
Subject / course
Computer engineering
Educational program
Nätverksteknik med IT-säkerhet
Supervisors
Examiners
Available from: 2024-07-22 Created: 2024-06-25 Last updated: 2025-10-13Bibliographically approved

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