Skip to Main content Skip to Navigation
Conference papers

A Hybrid Indoor Localization Framework in an IoT Ecosystem

Abstract : The Global Position System (GPS) does not work in the indoor environment because of the satellite signal attenuation. To overcome this lack, we propose a Hybrid Indoor Positioning and Navigation System (HIPNS), based on Li-Fi (Light-Fidelity) localization and optical camera positioning analyses deployed in an indoor environment. The localization approach is based on the fuse of two positioning strategies where the camera-based part is responsible for localizing individuals and recovering their trajectories in zones with low coverage of Li-Fi LEDs. A third-party element is planned to operate in the event of loss of contact. So, the step detection technique and heading estimation are applied in a smartphone-based indoor localization context between two referenced points. The main contribution of this paper focuses on the use of techniques, algorithms, and methods from different spheres of application that generate heterogeneous data. We apply a data integration approach based on REST Web service architecture to allow localization operations in this hybrid indoor positioning system (HIPS). In this work-in-progress paper, we also present a state-of-the-art survey of techniques and algorithms for indoor positioning with the help of smartphones, as well as the main concepts and challenges related to this emergent area.
Document type :
Conference papers
Complete list of metadata

https://hal-amu.archives-ouvertes.fr/hal-03212873
Contributor : Ivan Madjarov <>
Submitted on : Friday, April 30, 2021 - 8:55:08 AM
Last modification on : Saturday, May 8, 2021 - 3:22:15 AM
Long-term archiving on: : Saturday, July 31, 2021 - 6:15:37 PM

Identifiers

  • HAL Id : hal-03212873, version 1

Collections

Citation

Marc Junior Pierre Nkengue, Ivan Madjarov, Jean Luc, Rabah Iguernaissi. A Hybrid Indoor Localization Framework in an IoT Ecosystem. WITS 2020, Oct 2020, FEZ, Morocco. ⟨hal-03212873⟩

Share

Metrics

Record views

53

Files downloads

37