Li-Fi technology-based long-range FSO data transmit system evaluation

Authors

  • Omar Faruq Chongqing University of Posts and Telecommunications, China
  • Kazi Rubaiyat Shahriar Rahman Saic Institute of Management and Technology, Bangladesh
  • Nusrat Jahan Saic Institute of Management and Technology, Bangladesh
  • Sakib Rokoni Daffodil International University, Bangladesh
  • Mosa Rabeya Daffodil International University, Bangladesh

DOI:

https://doi.org/10.37868/sei.v5i1.id192

Abstract

Visible light is used by a technology known as Light Fidelity to establish wireless internet connections very quickly. This article offers line-of-sight communication between the transmitter and receiver using LED technology. Li-Fi technology is a method that transmits data using LED light, which is faster and more efficient than Wi-Fi. Since it is practically ubiquitous, light can be used for communication as well. A cutting-edge technology called optical communication includes a subset called Li-Fi. By sending out visible light, the Li-Fi device enables wireless intranet communication. An in-depth study and analysis of Li-Fi, a novel technology that transmits data at high speeds over a wide spectrum by using light as a medium of transmission.

Author Biographies

Omar Faruq, Chongqing University of Posts and Telecommunications, China

OMAR FARUQ is the Head of the Department of Electronics and Telecommunication Engineering at Saic Institute of Management and Technology, Bangladesh. He received his Post-Graduate degree from the School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, China. He engaged with research on Free-Space Optical Communication, Optical Fiber Communication, Image and Signal Processing, Nano-Optics.

 

 

Kazi Rubaiyat Shahriar Rahman, Saic Institute of Management and Technology, Bangladesh

Kazi Rubaiyat Shahriar Rahman is a lecturer in computer science and engineering at the Saic Institute of Management and Technology, Bangladesh. He did his graduation and post-graduate work in computer science and engineering at Daffodil International University, Bangladesh. He engaged with researching of FSO Networking, Cybersecurity.

 

Nusrat Jahan, Saic Institute of Management and Technology, Bangladesh

Nusrat Jahan is a lecturer in computer science and engineering at the Saic Institute of Management and Technology, Bangladesh. She received her degree in Computer Science and Engineering, National University of Bangladesh. She engaged with researching of FSO Networking, Cybersecurity.

 

Sakib Rokoni, Daffodil International University, Bangladesh

Sakib Rokoni is an undergraduate student at B.Sc. in Computer Science and Engineering program at Daffodil International University, Bangladesh. He is currently working as a software engineer at Intelsense AI Limited in Dhaka, Bangladesh. His primary research interests include machine learning, deep learning, artificial intelligence, natural language processing, computer vision, and other related topics.

 

Mosa Rabeya, Daffodil International University, Bangladesh

Mosa Rabeya is studying for her bachelor's degree in computer science and engineering at Daffodil International University, Bangladesh. Her areas of interest include machine learning, deep learning, artificial intelligence, natural language processing, and so on. Her current research is in NLP, language processing, and artificial intelligence.

 

Published

2023-06-01

How to Cite

[1]
O. Faruq, K. R. Shahriar Rahman, N. Jahan, S. Rokoni, and M. Rabeya, “Li-Fi technology-based long-range FSO data transmit system evaluation”, Sustainable Engineering and Innovation, vol. 5, no. 1, pp. 85-98, Jun. 2023.

Issue

Vol. 5 No. 1 (2023)

Section

Articles

Copyright (c) 2023 Omar Faruq, Kazi Rubaiyat Shahriar Rahman, Nusrat Jahan, Sakib Rokoni, Mosa Rabeya

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