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Light Fidelity (Li-Fi) overview and investigation into connection speed Cover

Light Fidelity (Li-Fi) overview and investigation into connection speed

By: Mithun Sharma and  Shilpi Sharma  
Open Access
|May 2021

Abstract

The overarching aim was to reduce the frequency of connection failures that occur due to the connection speed and reliability, and identify, characterise and optimise the key process input variables (KPIVs). An experimental research approach with an inbuilt planned manipulation to one or more variables in the experimental data set was adopted. Key elements of the Six-Sigma methodology were applied to resolve the issue of high failures due to connection speed and reliability between two Li-Fi transceivers. KPIVs were successfully identified, characterised and optimised to implement a permanent corrective action to ensure a reduction in connection failures from 17% to 0%. The alignment between two Li-Fi transceivers along with Li-Fi cut-out was found to be critical in achieving good connection speed and reliability. The interference due to ambient visible spectrum lighting found to be statistically insignificant. This study explored the application and benefits of accessible wireless data communication technologies. Moreover, it sheds light on the probable factors that may influence Li-Fi connection speed and areas for future research. The current research provides a Six-Sigma based solution to high connection failure rates while using an infrared-based Li-Fi transceiver. Results also offer insights into the analytical tools that were found to be effective during the problem-solving process.

DOI: https://doi.org/10.2478/emj-2021-0005 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597
Language: English
Page range: 63 - 73
Submitted on: Nov 1, 2020
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Accepted on: Feb 28, 2021
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Published on: May 7, 2021
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2021 Mithun Sharma, Shilpi Sharma, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.