A Fuzzy-Based Model for an Improved Visible Light Fidelity Network (Li-Fi)

  • 1Aburuotu, E.C ,Onuodu F.E

Abstract

Wireless communication technologies through wireless fidelity (Wi-Fi) have been experienced with various challenges including wrong data supply and error messaging at indoor scenarios. To handle these challenges, various types of indoor positioning or localization of data transmission technologies have been proposed and deployed in the management of various networking models. This work proposes a Fuzzy-based model for an Improved Visible Light Fidelity (V-Li-Fi) for wireless communications. The work aims at testing and recommending V-li-fi as the most efficient communication method for data networks. The objective will include using wireless radio signals for both communication and localization of lightning indication purposes, because wireless radio signals are popularly available at indoor spaces. However, the accuracy of indoor localization based purely on radio signals and the widely acceptable Wi-Fi technologies without lightning LED indicators is still not perfect. The potential for deploying visible light communication for indoor localization has been investigated in recent years which has led to advanced research. Wireless communication system will efficiently support and improve the deployment of wireless area networks using the Fuzzy-based model. In this work, we reviewed the most recent global light positioning system in network management, the throughput in data communication, as well as the challenges in wireless data transmission has experienced without a visible light communication system. We implemented a visible light fidelity with a fuzzy-model to give allowances and opportunities for light fidelity over wireless fidelity. This work will benefit people, organizations, government agencies to have an improved data network and wireless communications.

Published
2021-02-01
How to Cite
1Aburuotu, E.C ,Onuodu F.E. (2021). A Fuzzy-Based Model for an Improved Visible Light Fidelity Network (Li-Fi). International Journal of Advanced Science and Technology, 29(12s), 3184-3199. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/35216
Section
Articles