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Paper ID:IJSREM62942

ECO-FRIENDLY HIGH-SPEED INTERNET FOR MOUNTAINS REGIONS USING Li-Fi

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62942

Volume:

10 |

5 |

May 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM62942

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KK

Komal Kumari

Computer Science and Engineering

Jharkhand Rai University, Ranchi, India

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DK

Dr.Binod Kumar

Computer Science and Engineering

Jharkhand Rai University, Ranchi, India

TP

Tarkeshwar Prasad

Computer Science and Engineering

Jharkhand Rai University, Ranchi, India

DVPS

Dr. Ved Prakash Singh

Chemistry

Jharkhand Rai University, Ranchi, India

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Abstract

Providing communication and internet access in mountainous regions is extremely challenging and costly. In this research paper, we propose the use of Li-Fi (Light Fidelity) technology to deliver high-speed internet to remote mountain villages at a lower cost. This system will function like a web spread across the mountains, helping to eliminate internet connectivity issues. Li-Fi is a technology capable of transmitting data over long distances using light. Li-Fi offers better bandwidth and much faster data transmission speeds compared to traditional wireless technologies. Moreover, this approach is environmentally friendly, causing no harm to nature, and the installation cost is significantly lower than traditional methods that require setting up communication towers.

KEYWORDS

Keywords: - Li-Fi (light fidelity) long distances using ultraviolet light larger bandwidth for high-speed data transmission low cost

Cite This Article

Komal Kumari, Dr.Binod Kumar, Tarkeshwar Prasad, Dr. Ved Prakash Singh, "ECO-FRIENDLY HIGH-SPEED INTERNET FOR MOUNTAINS REGIONS USING Li-Fi," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-5, May 2026. https://doi.org/10.55041/IJSREM62942

Full Article/Conclusion

This research shows that Li-Fi could be a good and lasting solution for providing internet in hilly and mountainous areas. Experiments using a laser diode and photodiode setup successfully sent data, proving that Li-Fi can work in real situations. A network of Li-Fi nodes, acting as helpers, makes the system more reliable by keeping the connection going and offering different paths for data to travel. Compared to usual methods like cell towers or fiber cables, Li-Fi has several benefits: it's cheaper to set up, offers faster internet speeds, has less effect on the environment, and can use clean energy sources. But there are still some issues to fix, like making sure the signal stays strong in bad weather and increasing how far the signal can reach. Future work should look into combining Li-Fi with radio frequency systems, improving the way data is sent, and testing the system in real mountainous areas. In short, Li-Fi has the chance to change how people connect to the internet in remote mountainous areas. It could offer an affordable, eco-friendly, and fast internet option, helping improve education, healthcare, and economic opportunities in places that are not well connected.

References

[1] Abou Ali, M., Dornaika, F., & Charafeddine, J. (2026). Agentic AI: a comprehensive survey of architectures, applications, and future directions. Artificial Intelligence Review, 59(1). https://doi.org/10.1007/s10462-025-11422-4 [2] Bandi, A., Kongari, B., Naguru, R., Pasnoor, S., & Vilipala, S. V. (2025). The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges. In Future Internet (Vol. 17, Number 9). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/fi17090404 [3] Banerjee, S., Dunn, P., Conard, S., & Ng, R. (2023). Large language modeling and classical AI methods for the future of healthcare. Journal of Medicine, Surgery, and Public Health, 1, 100026. https://doi.org/10.1016/j.glmedi.2023.100026 [4] Bergin, S., Mooney, A., Ghent, J., & Quille, K. (2015). Using Machine Learning Techniques to Predict Introductory Programming Performance. International Journal of Computer Science and Software Engineering (IJCSSE), 4(12), 323–328. www.IJCSSE.org [5] Bhaskar Acharya, D., Member, S., & Kuppan, K. (2016). Agentic AI: Autonomous Intelligence for Complex Goals-A Comprehensive Survey. IEEE Access, 4(1), 1–25. https://doi.org/10.1109/ACCESS.2024 [6] Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021). Artificial intelligence in information systems research: A systematic literature review and research agenda. International Journal of Information Management, 60. https://doi.org/10.1016/j.ijinfomgt.2021.102383 [7] B. Kumar, N. Indumathi, K. Gaurav, N. Anand, B. R. Hinz and S. Upadhyay, "Random Forest  Classifier for Real-Time Monitoring and Analysis of IoT Devices in View of Energy Efficiency and Security," 2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI), Coimbatore, India, 2025, pp. 1271-1276, doi: 10.1109/ICoICI65217.2025.11252590. [8] B. Kumar, P. Somasundari, S. Upadhyay, A. Chakraborty, A. Lakra and M. Kumar, "Internet of Things (IoT) from the Viewpoint of Energy Efficiency and Security: A Review," 2024 International BIT Conference (BITCON), Dhanbad, India, 2024, pp. 1-6, doi: 10.1109/BITCON63716.2024.10985137. [9] Lu, C., Lu, C., Lange, R. T., Yamada, Y., Hu, S., Foerster, J., Ha, D., & Clune, J. (2026). Towards end-to-end automation of AI research. Nature, 651(8107), 914–919. https://doi.org/10.1038/s41586-026-10265-5 [10] Maharana, K. C., Kumar, B., Guru, S., Behera, B. P., & Upadhyay, S. (2025). Synergizing Customer Convenience and Fraud Prevention: Strategies for Sustainable Digital Payments to Enhance Satisfaction. 547–562. https://doi.org/10.2991/978-94-6463-787-8_43

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Publication Date

5/9/2026

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