Li-Fi Technology Based Long Range Free-Space Optics Data Transmit System Evaluation




Light Fidelity, Free Space Communication, Wireless Network, Data Transmission, Optical Communication


INTRODUCTION: The most flexible and reliable technological system is Wi-Fi, which is made possible by a wireless connection that transmits data using radio frequencies. Wi-Fi networks, however, encounter numerous issues related to power supply, availability, efficiency, and security as a result of the various access points. While relational waves describe the medical device, Wi-Fi radios produce radio waves that are very dangerous for patients. This document offers line-of-sight communication between the transmitter and receiver using LED technology. Li-Fi technology is a method that transmits audio 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 light fidelity. By sending out visible light, the Li-Fi device enables wireless intranet communication. This paper is an in-depth study and analysis of Light Fidelity (Li-Fi), a novel technology that transmits data at high speeds over a wide spectrum by using light as a medium of transmission. The research fields that are pertinent to Li-Fi networks are thoroughly analyzed and categorized in this paper.

OBJECTIVES: High speed data transmission, receive, share, broadcast through light in free space optical communication system by Li-Fi technology.

METHODS: We followed some methods and developed a unique method to develop this project. which is VLC, OOK, a Lambertian discharge mechanism, LOS, NLOS, or a CMOS optical receiver.

RESULTS: Successfully, we transmitted and received audio, video, and other data, which is very high-rated and near the 2 GB/s range.

CONCLUSION: Visible light communication may be a fast-evolving technique in the field of wireless technology. Li-Fi is a wireless data transfer system that is both fast and inexpensive. It can also be used in potentially hazardous situations, such as in nuclear power plants, without causing electromagnetic interference. We are considering adding more features to our project in the future to get better outcomes.


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Author Biographies

Omar Faruq, Chongqing University of Posts and Telecommunications

OMAR FARUQ is the Head of 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, Computer Science and Technology

Kazi Rubaiyat Shahriar Rahman is a Lecturer in Computer Science and Engineering at Saic Institute of Management and Technology, Bangladesh. He did his Graduation and Post-Graduation in Computer Science and Engineering at Daffodil International University, Bangladesh. He engaged with researching of FSO Networking, Cybersecurity.

Nusrat Jahan, Computer Science and Technology

Nusrat Jahan is a Lecturer in Computer Science and Engineering at Saic Institute of Management and Technology, Bangladesh. She did her graduation from Computer Science and Engineering, National University of Bangladesh. She engaged with researching of FSO Networking, Cybersecurity.

Sakib Rokoni, Daffodil International University

Sakib Rokoni is an undergraduate student at B.Sc. in Computer Science & Engineering at Daffodil International University, Bangladesh. He is currently working as a Software Engineer at Intelsense AI Limited, Dhaka Bangladesh. His main areas of interest are in Machine Learning, Deep Learning, Artificial Intelligence, NLP, Computer Vision etc.

Mosa Rabeya, Daffodil International University

Mosa. Rabeya studying her bachelor degree in Computer Science and Engineering at Daffodil International University, Bangladesh. Her interested area such as Machine learning, Deep learning, Artificial intelligence, NLP etc. Her current research in NLP, Artificial intelligence.


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How to Cite

O. Faruq, K. R. Shahriar Rahman, N. Jahan, S. Rokoni, and M. Rabeya, “Li-Fi Technology Based Long Range Free-Space Optics Data Transmit System Evaluation”, EAI Endorsed Trans Mob Com Appl, vol. 7, no. 4, p. e3, May 2023.