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Conference Papers Year : 2021

A VLC-based Footprinting Localization Algorithm for Internet of Underwater Things in 6G networks

Marwan Hammouda
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Valeria Loscri
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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.
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Dates and versions

hal-03282673 , version 1 (09-07-2021)

Identifiers

  • HAL Id : hal-03282673 , version 1

Cite

Anna Maria Vegni, Marwan Hammouda, Valeria Loscri. A VLC-based Footprinting Localization Algorithm for Internet of Underwater Things in 6G networks. IEEE 5th International Workshop on Optical Wireless Communications (IWOW), Sep 2021, Berlin, Germany. ⟨hal-03282673⟩

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