Beacon Placement Algorithm for Hybrid Indoor Positioning with Wi-Fi and Bluetooth Low Energy
Autor: | Dishanika Denipitiyage, Louise Perera, Dileeka Dias, Induni Gnanarathne, Theshani Nuradha |
---|---|
Rok vydání: | 2019 |
Předmět: |
Positioning system
Computer science Composite signal business.industry computer.internet_protocol Computer laboratory 05 social sciences 010501 environmental sciences 01 natural sciences Wireless positioning 0502 economics and business Wireless Granularity business Algorithm computer 050203 business & management 0105 earth and related environmental sciences Bluetooth Low Energy |
Zdroj: | 2019 Moratuwa Engineering Research Conference (MERCon). |
DOI: | 10.1109/mercon.2019.8818845 |
Popis: | Indoor positioning by wireless means is of significant interest in a wide range of applications; Wi-Fi and Bluetooth Low Energy (BLE) are popular candidate wireless technologies for this. We present a novel BLE beacon placement algorithm that complements existing Wi-Fi infrastructure in a hybrid Wi-Fi/BLE positioning system. Composite signal strength measurements thus obtained, are used to derive machine learning models for location estimation. Our results show that positioning estimates at table-level granularity $(0.9 m\times1.8m)$ in a computer laboratory can be achieved with 97% accuracy. This is an improvement of 20% and 30% compared to Wi-Fi and BLE only techniques respectively. |
Databáze: | OpenAIRE |
Externí odkaz: |