Decoding Methods in LED-to-Smartphone Bidirectional Communication for the IoT

Abstract : The use of visible light for bidirectional communication between regular smartphones and the small LEDs integrated in most consumer electronics nowadays raises new challenges. In this paper, we enhance the state of the art with an efficient image processing algorithm to accurately detect the LEDs and decode their signal in real time. To enable flash-to-LED communication on non-rooted smartphones, we propose encoding and decoding methods that cope with the inaccurate flashlight clock rate.
Liste complète des métadonnées

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/hal-01683629
Contributor : Alexis Duque <>
Submitted on : Sunday, January 14, 2018 - 1:51:44 PM
Last modification on : Tuesday, March 19, 2019 - 11:37:21 AM
Document(s) archivé(s) le : Sunday, April 15, 2018 - 12:31:20 PM

File

lifi-congress18.pdf
Files produced by the author(s)

Identifiers

Citation

Alexis Duque, Razvan Stanica, Hervé Rivano, Adrien Desportes. Decoding Methods in LED-to-Smartphone Bidirectional Communication for the IoT. Global LiFi Congress - 1st edition, Feb 2018, Paris, France. pp.1-6, ⟨10.23919/GLC.2018.8319118⟩. ⟨hal-01683629⟩

Share

Metrics

Record views

358

Files downloads

837