Smart City Gnosys
Smart city article details
| Title | Indoor Localization Using Multi-Color Fingerprinting |
|---|---|
| ID_Doc | 31243 |
| Authors | Rexhausen T.; Chen C.S.; Pianese F. |
| Year | 2021 |
| Published | 2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020 |
| DOI | http://dx.doi.org/10.1109/HEALTHCOM49281.2021.9398986 |
| Abstract | VLC based indoor positioning system is a natural choice thanks to LED technology and future trend. We can reuse existing LED lighting installations to design an appropriate scheme to provide indoor localization. By receiving basic information such as the light intensity and knowing the position of the transmitters for example through Visible Light Communication (VLC), one can estimate its position with the potential of high accuracy. In this paper, we use a multi-color sensor and build an indoor localization system based on the light fingerprint, which is suitable for smart cities and homes, health-care centers, hospitals or similar. There are, however, several practical problems that make it a technology that is not yet sufficiently developed to be used in our everyday life. In this paper, a new perspective is given by looking into indoor localization using multi-color fingerprinting and different machine learning methods. Experiment results have shown its effectiveness and potentials with mean localization errors of around ten centimeters. © 2021 IEEE. |
| Author Keywords | Fingerprint; Health-care centers and hospitals; Indoor positioning system; Smart cities and homes; VLC based localization |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
10513  | 0.883 | Rekkas V.P.; Iliadis L.A.; Sotiroudis S.P.; Boursianis A.D.; Sarigiannidis P.; Plets D.; Joseph W.; Wan S.; Christodoulou C.G.; Karagiannidis G.K.; Goudos S.K. | Artificial Intelligence In Visible Light Positioning For Indoor Iot: A Methodological Review | IEEE Open Journal of the Communications Society, 4 (2023) |
| 23826 | 0.861 | Karibasappa R.; Kumar A. | Enhancing Indoor Visible Light Localization Accuracy Through Hybrid Fingerprint-Knn Scheme In Iot-Enabled Smart Cities | 2024 5th IEEE Global Conference for Advancement in Technology, GCAT 2024 (2024) |
| 31260 | 0.861 | Liu X.; Guo L.; Wei X. | Indoor Visible Light Applications For Communication, Positioning, And Security | Wireless Communications and Mobile Computing, 2021 (2021) |
| 47120 | 0.854 | Sheikh S.M.; Asif H.M.; Raahemifar K.; Kausar F.; Rodrigues J.J.P.C.; Mumtaz S. | Rssi Based Implementation Of Indoor Positioning Visible Light Communication System In Ns-3 | IEEE International Conference on Communications (2021) |
| 3580 | 0.852 | Cao X.; Wang X.; Chen G.; Yang X. | A Novel Visible Light Positioning System Based On The Dual-Led Anchor | IEEE Transactions on Instrumentation and Measurement, 72 (2023) |