A Critical Evaluation on Line of Sight Based Data Transmission A Review
Abstract
The idea of Li-Fi (Visible Light Communication) as a safe way to transfer data between Android devices is examined in this review study. While previous research shows that Li-Fi can be used to transfer data utilizing smartphone components, the security implications of such a system are the main emphasis of this work. We examine the viability of an Android application that exchanges encrypted data via Li-Fi technology. To guarantee data confidentiality during Li-Fi transmission, encryption methods and other security precautions are addressed. The study evaluates and summarizes the Li-Fi and Android integration, emphasizing data rate constraints and the possible influence of ambient light on system performance. Finally we encapsulated different level of technologies that is been used to transmit the data based on line of sight communication.
Keywords:
Li-Fi, Line of Sight Communication, VLC, Encryption, AndroidPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Blesson Thomas, Boney Sunny, Helina Jiji, Mariya Binoy, Elisabeth Thomas, AI-Enabled UAV Systems for Disaster Response and Human Rescue: A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- An Mariya Deve M D, Aswani Unni, Bhagya S, Abin Joseph, Dr. Aju Mathew George, Innovative Biochar Applications for Sustainable Water Purification , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Joyal Joby Joseph, Michael Abraham Philips, Noel J Abraham, Steffi Maria Saji, Shiney Thomas, A Review of Parkinson Disease Detection Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Parvathy V A, Irfana Parveen C A, Alisha K A, Reshma P R, Manu Krishna C P, Detection of Diabetic Retinopathy and Glaucoma using Deep Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Selin Sam, Ameen Shouketh, Eby Jo, Jithin Russel, Joyal Anto, Muhammed Nihal K, Animal Detection Using Footprint , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Johan John George, Kavya R, Marianna Martin, Mili Manoj, Kavitha N, BRIGHTMINDS - Adaptive Learning Platform with Focus Tracking for Autistic Children , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Betzy Babu Thoppil, Midhun P Mathew, Sania Elsa Reji, Nazreen Shanavaaz, Unnimaya v Ashok, Nila S S Nila, Comparative Study of Deep Learning Models for Pneumonia Classification , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Nebin Mathew John, Vivek Manojkumar Nair, Sam Stephen Thomas, Blockchain Enhanced Web Application for Anonymous Drug Abuse Reporting and Recovery in the Indian Context , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr.Sinciya P.O, Aaron Varughese Bino, Anamin Fathima Anish, Aathira Krishna, Dona Maria Joseph, Unveiling Stress through Facial Expressions: A Literature Review on Detection Methods , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Elisabeth Thomas, Chris Joseph, Eva Mary Regi, Haby.S. Mathews, Irin Alex , PIMS: Public Issue Management System , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
You may also start an advanced similarity search for this article.
