Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems
Global positioning system and other outdoor positioning mechanisms are already subject to comprehensive research and development for almost half a century. Conversely, indoor positioning services became a hot topic in the last decade. Since GPS (and. other outdoor solutions) do not work reliably in most indoor environments, researchers and developers are working on accurate positioning solutions, especially tailored for indoor places. However; due to walls, furniture, people and other obstacles, absolute location estimation is very hard and expensive to achieve in indoor places. in addition, accuracy needs depend on the scenario and application. in this study, we have studied the feasibility of room-level location detection in home and office environments. We have focused on examining the quality of room-wise detection accuracy of the fingerprinting method that is applied along with standard Wi-Fi radio infrastructure. We have conducted experiments in a multi-storey office building made of concrete and aerated concrete bricks with many rooms, in which it is significantly hard to accurately estimate the correct place of a thing, using radio signals. To the best of our knowledge, our paper is the first study that investigates the room-level accuracy of Wi- Fi fingerprinting-based indoor localization systems. We have found out that, it is possible to feasibly achieve room-level detection with good accuracy, via a pre-calculated room-specific received signal strength indicator threshold value.
A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems
Global positioning system and other outdoor positioning mechanisms are already subject to comprehensive research and development for almost half a century. Conversely, indoor positioning services became a hot topic in the last decade. Since GPS (and. other outdoor solutions) do not work reliably in most indoor environments, researchers and developers are working on accurate positioning solutions, especially tailored for indoor places. However; due to walls, furniture, people and other obstacles, absolute location estimation is very hard and expensive to achieve in indoor places. in addition, accuracy needs depend on the scenario and application. in this study, we have studied the feasibility of room-level location detection in home and office environments. We have focused on examining the quality of room-wise detection accuracy of the fingerprinting method that is applied along with standard Wi-Fi radio infrastructure. We have conducted experiments in a multi-storey office building made of concrete and aerated concrete bricks with many rooms, in which it is significantly hard to accurately estimate the correct place of a thing, using radio signals. To the best of our knowledge, our paper is the first study that investigates the room-level accuracy of Wi- Fi fingerprinting-based indoor localization systems. We have found out that, it is possible to feasibly achieve room-level detection with good accuracy, via a pre-calculated room-specific received signal strength indicator threshold value.
A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems
Çabuk, Umut Can (Autor:in) / Dalkılıç, Feriştah (Autor:in) / Dağdeviren, Orhan (Autor:in) / Ege Üniversitesi
01.01.2019
22
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Ekoloji , Su Kaynakları , Kâğıt ve Ahşap , Çevre Bilimleri , Sibernitik , Makine , Yazılım Mühendisliği , Yapay Zeka , İnşaat Mühendisliği , Termodinamik , Savunma Bilimleri , Kompozitler , Fizikokimya , Görüntüleme Bilimi ve Fotoğraf Teknolojisi , Spektroskopi , Deniz ve Tatlı Su Biyolojisi , Enerji ve Yakıtlar , Biyomalzemeler , Nanobilim ve Nanoteknoloji , Mantar Bilimi , Yeşil , Polimer Bilimi , İnorganik ve Nükleer , Taşınım , Deniz , İnşaat ve Yapı Teknolojisi , Özellik ve Test , Elektrik ve Elektronik , Atomik ve Moleküler Kimya , Donanım ve Mimari , Tıbbi , Mimarlık , Robotik , Partiküller ve Alanlar , Seramik , Organik , Bilgisayar Bilimleri , Analitik , Biyoloji , Matematik , Maden İşletme ve Cevher Hazırlama , Sürdürülebilir Bilim ve Teknoloji , Katı Hal , Biyoloji Çeşitliliğinin Korunması , Petrol , Nükleer , Gıda Bilimi ve Teknolojisi , Mineraloji , Taşınım Bilimi ve Teknolojisi , Teori ve Metotlar , Bilgi Sistemleri , Çevre Mühendisliği , Fizik , İmalat Mühendisliği , Uygulamalı , Mühendislik , Metalürji Mühendisliği , Akışkanlar ve Plazma , Malzeme Bilimleri , Endüstri Mühendisliği , Kaplamalar ve Filmler , Telekomünikasyon , İstatistik ve Olasılık , Kimya , Hücre ve Doku Mühendisliği , Nükleer Bilim ve Teknolojisi , Optik , Tekstil
DDC:
690
Confidentiality Preserved Federated Learning for Indoor Localization Using Wi-Fi Fingerprinting
DOAJ | 2023
|Crowdsourcing-Based Fingerprinting for Indoor Location in Multi-Storey Buildings
Fraunhofer Publica | 2021
|L/F-CIPS: Collaborative indoor positioning for smartphones with lateration and fingerprinting
BASE | 2023
|