Smart City Gnosys
Smart city article details
| Title | Artificial Intelligence In Visible Light Positioning For Indoor Iot: A Methodological Review |
|---|---|
| ID_Doc | 10513 |
| Authors | 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. |
| Year | 2023 |
| Published | IEEE Open Journal of the Communications Society, 4 |
| DOI | http://dx.doi.org/10.1109/OJCOMS.2023.3327211 |
| Abstract | Indoor communication and positioning are significant fields of applications for indoor Internet of Things (IoT) given the rapid growth of IoT in smart cities, smart grids, and smart industries. Visible light positioning (VLP) has become more and more attractive for researchers to provide indoor location-aware IoT services. Additionally, artificial intelligence (AI) has attracted considerable research effort to address the challenges in visible-light communication (VLC) systems. This is an emerging technology in next-generation wireless networks. However, despite the rapid progress, the use of AI in localization, navigation, and position estimation is still underexplored in VLC systems, and various research challenges are still open. This methodological review summarizes the research efforts regarding the use of AI in the field of VLP, to improve the position estimation accuracy in both two-dimensional (2D) and three-dimensional (3D) indoor IoT applications. This treatise also presents open issues and potential future directions for motivating further research in the field. Various databases were utilized in this paper: Scopus, Google Scholar, and IEEE Xplore; obtained 88 papers from 2017 to early 2023. Most (68%) of the AI articles in VLP systems are machine learning (ML) methods applied for localization and position estimation in VLC systems, while the other 32% of the research articles focussed on evolutionary algorithms. ML and evolutionary models may present limitations in terms of complexity and time-consuming nature but offer highly accurate, robust, reliable, and cost-effective results in terms of position estimation over conventional approaches. © 2020 IEEE. |
| Author Keywords | Artificial intelligence; evolutionary algorithms; indoor localization; machine learning; visible light communication; visible light positioning |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
31243  | 0.883 | Rexhausen T.; Chen C.S.; Pianese F. | Indoor Localization Using Multi-Color Fingerprinting | 2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020 (2021) |
| 59422 | 0.881 | Kerdjidj O.; Himeur Y.; Sohail S.S.; Amira A.; Fadli F.; Atalla S.; Mansoor W.; Copiaco A.; Gawanmeh A.; Miniaoui S.; Dawoud D. | Uncovering The Potential Of Indoor Localization: Role Of Deep And Transfer Learning | IEEE Access, 12 (2024) |
| 57387 | 0.872 | Sun X.; Zhuang Y.; Zheng Z.; Zhang H.; Wang B.; Wang X.; Zhou J. | Tightly Coupled Integration Of Visible Light Positioning, Gnss, And Ins For Indoor/Outdoor Transition Areas | Information Fusion, 117 (2025) |
| 14653 | 0.871 | Liu X.; Gao Y.; Wang X.; Guo L.; Wei X. | Cognitive Indoor Positioning Using Sparse Visible Light Source | IEEE Transactions on Computational Social Systems, 9, 6 (2022) |
| 4261 | 0.871 | Basri C.; Elkhadimi A. | A Review On Indoor Localization With Internet Of Things | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 44, 4/W3 (2020) |
| 48195 | 0.865 | Cappelli I.; Carli F.; Fort A.; Micheletti F.; Vignoli V.; Bruzzi M. | Self-Sufficient Sensor Node Embedding 2D Visible Light Positioning Through A Solar Cell Module | Sensors, 22, 15 (2022) |
| 42383 | 0.864 | El Boudani B.; Kanaris L.; Kokkinis A.; Chrysoulas C.; Dagiuklas T.; Stavrou S. | Positioning As Service For 5G Iot Networks | 2021 Telecoms Conference, ConfTELE 2021 (2021) |
| 47120 | 0.856 | 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) |
| 18628 | 0.856 | Zhu B.; Zhang C.; Zhang Z.; Dang J.; Wu L. | Design And Implementation Of Visible Light Positioning Systems Based On Photodiode Arrays | IEEE Communications Magazine, 61, 11 (2023) |
| 57348 | 0.85 | Maduranga M.W.P.; Lakmal H.K.I.S.; Kalansooriya L.P. | Three-Dimensional Wireless Indoor Localization With Machine Learning Algorithms For Location-Based Iot Applications | Communications in Computer and Information Science, 1995 (2024) |