| Title | A VLC-Based Footprinting Localization Algorithm for Internet of Underwater Things in 6G Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Vegni, Anna Maria, Hammouda, Marwan, Loscr\'ı, Valeria |
| Conference Name | 2021 17th International Symposium on Wireless Communication Systems (ISWCS) |
| Keywords | Adaptive optics, Databases, Internet, localization, location awareness, Network reconnaissance, optical wireless communications, pubcrawl, Radio frequency, resilience, Resiliency, Scalability, underwater communications, visible light, Wireless sensor networks |
| Abstract | In the upcoming advent of 6G networks, underwater communications are expected to play a relevant role in the context of overlapping hybrid wireless networks, following a multilayer architecture i.e., aerial-ground-underwater. The concept of Internet of Underwater Things defines different communication and networking technologies, as well as positioning and tracking services, suitable for harsh underwater scenarios. In this paper, we present a footprinting localization algorithm based on optical wireless signals in the visible range. The proposed technique is based on a hybrid Radio Frequency (RF) and Visible Light Communication (VLC) network architecture, where a central RF sensor node holds an environment channel gain map i.e., database, that is exploited for localization estimation computation. A recursive localization algorithm allows to estimate user positions with centimeter-based accuracy, in case of different turbidity scenarios. |
| DOI | 10.1109/ISWCS49558.2021.9562170 |
| Citation Key | vegni_vlc-based_2021 |
A VLC-Based Footprinting Localization Algorithm for Internet of Underwater Things in 6G Networks