Data Transmission Using Infrared LEDs: A Comparative Study with Visible Light-Based System
Keywords:
Data transmission, Infrared LEDs, Optical wireless communication, Sensor networks, Visible Light Communications (VLC)Abstract
This paper presents an Optical Wireless Communication (OWC) system using Infrared (IR) LEDs for wireless sensor data transmission. In the context of smart homes, IoT enables seamless communication and collaboration between appliances, sensors, and control systems, providing convenience, energy efficiency, and enhanced security. However, the growing adoption of IoT has also led to significant challenges, particularly in the domain of wireless communication. Traditional methods such as Wi-Fi and Bluetooth suffer from bandwidth limitations, electromagnetic interference, and vulnerabilities to cyberattacks, creating a pressing need for more secure and efficient alternatives. Performance metrics such as data rate, transmission range, energy efficiency, and environmental adaptability are analyzed. A comparative analysis with traditional visible light-based systems highlights the advantages of IR LEDs in terms of power efficiency and resilience to ambient light interference.
References
H. Haas, L. Yin, Y. Wang, and C. Chen, “What is LiFi?,” Journal of Light wave Technology, vol. 34, no. 6, pp. 1533–1544, Mar. 2016, doi: https://doi.org/10.1109/JLT.2015.2510021
N. Sondur, P. Garg, R. Kumar, S. Bhattacherjee, "Smart ambulance service system", Int. J. Appl. Eng. Res., vol. 10, no. 55, pp. 742-744, 2015.
Z. Ghassemlooy, W. Popoola, and S. Rajbhandari, Optical Wireless Communications: System and Channel Modelling with MATLAB®. System and Channel Modelling with MATLAB, 2019. Accessed: Jan. 28, 2025. [Online]. Available: https://doi.org/10.1201/9781315151724
K. Wang, T. Song, and Y. Wang, “Evolution of Short-Range Optical Wireless Communications,” Ieee.org, 2022. https://ieeexplore.ieee.org/document/9748445
M. R. Suma and P. Madhumathy, “Brakerski‐Gentry‐Vaikuntanathan fully homomorphic encryption cryptography for privacy preserved data access in cloud assisted Internet of Things services using glow‐worm swarm optimization,” Transactions on Emerging Telecommunications Technologies, Sep. 2022, doi: https://doi.org/10.1002/ett.4641
M. Perumal and S. Dhandapani, “Modeling and Simulation of a Novel Relay Node Based Secure Routing Protocol Using Multiple Mobile Sink for Wireless Sensor Networks,” The Scientific World JOURNAL, vol. 2015, pp. 1–9, Jan. 2015, doi: https://doi.org/10.1155/2015/495945
Banerjee and P. Madhumathy, “QoS enhanced energy efficient cluster based routing protocol realized using stochastic modeling to increase lifetime of green wireless sensor network,” Wireless Networks, vol. 29, no. 2, pp. 489–507, Oct. 2022, doi: https://doi.org/10.1007/s11276-022-03124-4
Banerjee and P. Madhumathy, “IoT Based Agricultural Business Model for Estimating Crop Health Management to Reduce Farmer Distress Using SVM and Machine Learning,” Studies in big data, vol. 99, pp. 165–183, Nov. 2021, doi: https://doi.org/10.1007/978-981-16-6210-2_8
M. R. Suma and P. Madhumathy, “Acquisition and Mining of Agricultural Data Using Ubiquitous Sensors with Internet of Things,” Lecture notes on data engineering and communications technologies, vol. 15, pp. 249–261, Sep. 2018, doi: https://doi.org/10.1007/978-981-10-8681-6_24
S. B. Prasad and P. Madhumathy, “Long Term Evolution for Secured Smart Railway Communications Using Internet of Things,” Studies in computational intelligence, vol. 907, pp. 285–300, Jul. 2020, doi: https://doi.org/10.1007/978-3-030-50641-4_16
D. Karunatilaka, F. Zafar, V. Kalavally, and R. Parthiban, “LED Based Indoor Visible Light Communications: State of the Art,” IEEE Communications Surveys & Tutorials, vol. 17, no. 3, pp. 1649–1678, 2015, doi: https://doi.org/10.1109/comst.2015.2417576
S. Hranilovic, Wireless Optical Communication Systems. Springer Nature, 2005. doi: https://doi.org/10.1007/b99592
P. Madhumathy and Sivakumar, “A Comparative Analysis of clustering based Routing Techniques for WSN,” International Journal of Scientific & Engineering Research, vol. 3, no. 10, pp. 1-5, Oct. 2012, Accessed: Jan. 28, 2025. [Online]. Available: https://www.ijser.org/researchpaper/A-Comparative-Analysis-of-clustering-based-Routing-Techniques-for-WSN.pdf
Takaya Yamazato et al., “Vehicle Motion and Pixel Illumination Modeling for Image Sensor Based Visible Light Communication,” IEEE Journal on Selected Areas in Communications, vol. 33, no. 9, pp. 1793–1805, May 2015, doi: https://doi.org/10.1109/jsac.2015.2432511
P. Madhumathy and D. Sivakumar, “Power Efficient Data Aggregation in Wireless Sensor Networks,” International Journal of Advanced Computer Technology, May 2014.
N. Kumar, N. Lourenco, D. Terra, L. N. Alves, and R. L. Aguiar, “Visible light communications in intelligent transportation systems,” 2012 IEEE Intelligent Vehicles Symposium, vol. 55, no. 1, Jun. 2012, doi: https://doi.org/10.1109/ivs.2012.6232282