Indoor Localization System Based on Bluetooth Low Energy for Museum Applications

Guardado en:
Detalles Bibliográficos
Publicado en:Electronics vol. 9, no. 6 (2020), p. 1055
Autor principal: Romeo Giuliano
Otros Autores: Cardarilli, Gian Carlo, Cesarini, Carlo, Luca Di Nunzio, Fallucchi, Francesca, Fazzolari, Rocco, Mazzenga, Franco, Re, Marco, Vizzarri, Alessandro
Publicado:
MDPI AG
Materias:
Acceso en línea:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

MARC

LEADER 00000nab a2200000uu 4500
001 2419209192
003 UK-CbPIL
022 |a 2079-9292 
024 7 |a 10.3390/electronics9061055  |2 doi 
035 |a 2419209192 
045 2 |b d20200101  |b d20201231 
084 |a 231458  |2 nlm 
100 1 |a Romeo Giuliano 
245 1 |a Indoor Localization System Based on Bluetooth Low Energy for Museum Applications 
260 |b MDPI AG  |c 2020 
513 |a Journal Article 
520 3 |a In the last few years, indoor localization has attracted researchers and commercial developers. Indeed, the availability of systems, techniques and algorithms for localization allows the improvement of existing communication applications and services by adding position information. Some examples can be found in the managing of people and/or robots for internal logistics in very large warehouses (e.g., Amazon warehouses, etc.). In this paper, we study and develop a system allowing the accurate indoor localization of people visiting a museum or any other cultural institution. We assume visitors are equipped with a Bluetooth Low Energy (BLE) device (commonly found in modern smartphones or in a small chipset), periodically transmitting packets, which are received by geolocalized BLE receivers inside the museum area. Collected packets are provided to the locator server to estimate the positions of the visitors inside the museum. The position estimation is based on a feed-forward neural network trained by a measurement campaign in the considered environment and on a non-linear least square algorithm. We also provide a strategy for deploying the BLE receivers in a given area. The performance results obtained from measurements show an achievable position estimate accuracy below 1 m. 
653 |a Receivers & amplifiers 
653 |a Communication 
653 |a Receivers 
653 |a Art exhibits 
653 |a Radio frequency identification 
653 |a Packet transmission 
653 |a Transmitters 
653 |a Localization 
653 |a Servers 
653 |a Museums 
653 |a Bluetooth 
653 |a Chips (electronics) 
653 |a Position measurement 
653 |a Propagation 
653 |a Wireless networks 
653 |a Global positioning systems--GPS 
653 |a Neural networks 
653 |a Sensors 
653 |a Algorithms 
653 |a Logistics 
653 |a Warehouses 
653 |a Smartphones 
653 |a Internet of Things 
653 |a Cost control 
700 1 |a Cardarilli, Gian Carlo 
700 1 |a Cesarini, Carlo 
700 1 |a Luca Di Nunzio 
700 1 |a Fallucchi, Francesca 
700 1 |a Fazzolari, Rocco 
700 1 |a Mazzenga, Franco 
700 1 |a Re, Marco 
700 1 |a Vizzarri, Alessandro 
773 0 |t Electronics  |g vol. 9, no. 6 (2020), p. 1055 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2419209192/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/2419209192/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2419209192/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch