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Book Sections Year : 2021

Towards Designing a Li-Fi-Based Indoor Positioning and Navigation System in an IoT Context

Abstract

People generally find themselves lost while visiting a new indoor location because they are unaware of the building's architecture, especially when it is a large one or a shopping mall. The Global Position System (GPS) does not work properly in the indoor environment because of the satellite signal attenuation. In this paper, to assist people in finding their path, a Li-Fi (Light-Fidelity) based Indoor Positioning System (IPS) is proposed. A framework is developed based on a Li-Fi LED lamp transmitter and a dongle receiver connected to an Android smartphone to decode the received sequence. The pathfinding graph-based algorithm is proceeded in a REST architecture by a Web service consulting the graph-path database both installed on a Raspberry pi 4. The proposed solution is a low cost and does not require any additional infrastructure. It is easy to implement in most indoor environments like hospitals, buildings, and campuses. A short survey of techniques and algorithms for indoor positioning and navigation with the help of smartphones is also presented.
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Dates and versions

hal-03212860 , version 1 (30-04-2021)

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Ivan Madjarov, Jean Luc Damoiseaux, Rabah Iguernaissi. Towards Designing a Li-Fi-Based Indoor Positioning and Navigation System in an IoT Context. Advances in Intelligent Systems and Computing, pp.266-277, 2021, ⟨10.1007/978-3-030-73100-7_20⟩. ⟨hal-03212860⟩
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