IOT BASED VISIBLE LIGHT COMMUNICATION SYSTEM FOR BIOMEDICAL APPLICATION

Main Article Content

Dr. KDV Prasad1 , Pooja Singh2, Dr. Shivaputra3, Dr.P. Veeramanikandan4 , Dr. Venkatesan Hariram5, Dillip Narayan Sahu6*

Keywords

Visible Light Communication, Internet of Things, Cloud, Biomedical, Intelligence and Sensor.

Abstract

As VLC might provide a real and highly efficient alternative to radio-based wireless, it is now receiving a lot of attention. This thesis argues that VLC is ideal for solving problems brought up by radio frequency and providing high-density wireless data coverage in an area around the size of a light bulb. With VLC technology, any light bulb may function as a Wi-Fi hotspot, allowing for the simultaneous transmission of large amounts of data to a large number of users while simultaneously reducing energy consumption and protecting the natural world. As the connections between things, their surroundings, and people get stronger, the Internet of Things (IoT) holds the potential of delivering a new, completely linked "smart" world. If the advantages to people's lives, communities, and the economy are to be realised, however, the problems and obstacles that come with the Internet of Things must be taken into account and addressed. A heated discussion that contrasts the promises of IoT against its potential hazards will not lead to solutions for maximising the advantages of the IoT while reducing the risks. Instead, the most productive next steps can only be determined via the thoughtful participation, conversation, and cooperation of many different parties. In the not-too-distant future, the groundbreaking idea of the IoT will enable wireless communication for billions of devices. This technology enables the development of ambient intelligence and autonomous control, both of which have the potential to shape people's surroundings to better suit their needs and preferences. In this study, we choose to tackle these issues using low-cost hardware, expanding the use cases for VLC connections while drawing attention to their inherent performance constraints. In conclusion, this project aims to develop a Virtual Logic Controller (VLC) and Internet of Things (IoT) device backed by Cloud Computing to measure various biological parameters.

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References


1. Tzu-Ming Lin, “Visible Light Communication (VLC) Sustainable Energy - Efficient Wireless Applications Using Light”, IEEE Communication Magazine, Volume. 48, Issue No. 12, pp. 66-73, 2019. 2. Chaturi Singh, Joseph John, Y. N. Singh, K. K. Tripathi, “A Review on Indoor Optical Wireless Systems”, IETE Technical Review, Volume. 12, Issue No. 2, pp. 171-186, 2018. 3. Suban and P. Prabu, “Performance Enhancement of Data Communication through Visible Light Communication Using On Off Keying”, International Journal of Advanced Research in Computer Engineering & Technology, Volume. 2, Issue No. 2, 2019. 4. T. Komine and M. Nakagawa, “Fundamental Analysis for Visible-Light Communication System using LED Lights”, IEEE Transactions on Consumer Electronics, Volume. 50, Issue No. 1, pp. 100, 2018. 5. Tzu-Ming Lin, “Visible Light Communication (VLC) Sustainable EnergyEfficient Wireless Applications using Light”, IEEE Communication Magazine, Volume. 48, Issue No. 12, pp. 66-73, 2018. 6. Cheng-Chun Chang, Yuan-Jun Su, Umpei Kurokawa, and Byung Choi, “Interference Rejection using Filter-Based Sensor Array in VLC Systems”, IEEE Sensors Journal, Volume. 12, Issue No. 5, pp. 1025-1032, 2017. 7. Latif Ullah Khan, “Visible Light Communication: Applications, Architecture, Standardization and Research Challenges”, Digital Communications and Networks, pp. 2352, 2019. 8. M. Kavehrad, Z. Hajjarian and A. Enteshari, “Energy-Efficient Broadband Data Communications using White LEDs on Aircraft Power-lines”, Integrated Communications, Navigation and Surveillance Conference, 2018. 9. P. Deng, J. W. Zhang, X. H. Rong, and F. Chen, “Modeling the Large-Scale Device Control System based on PI-Calculus”, Advanced Science Letters, Volume. 4, Issue No. 6-7, pp. 2374–2379, 2017. 10. G. Kesavaraj and S. Sukumaran, “A Study on Classification Techniques in Data Mining”, Proceedings of the 4th International Conference on Computing, Communications and Networking Technologies, pp. 1–7, 2018. 11. Gennaro Tartarisco, Giovanni Baldus, Daniele Corda, Rossella Raso, Antonino Arnao, Marcello Ferro, Andrea Gaggioli, Giovanni Pioggia, “Personal Health System Architecture for Stress Monitoring and Support to Clinical Decisions”, Computer Communications, Volume. 35, pp. 1296–1305, 2018. 12. Catarinucci, L. de Donno, D. Mainetti, L. Palano, L. Patrono, Stefanizzi, M.L. Tarricone, “An IoT-Aware Architecture for Smart Healthcare Systems”, Internet of Things Journal, IEEE, Volume. 2, Issue No. 6, pp. 515 – 526, 2019. 13. Mukhopadhyay, S.C, “Wearable Sensors for Human Activity Monitoring: A Review”, Sensors Journal, IEEE, Volume. 15, Issue No. 3, pp. 1321 – 1330, 2018. 14. Alok Kulkarni, Sampada Sathe, “Healthcare applications of the Internet of Things: A Review”, International Journal of Computer Science and Information Technologies, Volume. 5, Issue No. 5, pp. 6229-6232, 2018. 15. Mohammed Riyadh Abdmeziem, Djamel Tandjaoui, “An end-to-end Secure Key Management Protocol for e-health Applications”, Computers and Electrical Engineering, Volume. 44, pp. 184-197, 2015. 16. Eleonora Borgia, “The Internet of Things Vision: Key Features, Applications and Open Issues”, Computer Communications, Volume. 54, pp. 1–31, 2018. 17. Boyi Xu, Li Da Xu, , Hongming Cai, Cheng Xie, Jingyuan Hu, and Fenglin Bu, “Ubiquitous Data Accessing Method in IoT-Based Information System for Emergency Medical Services”, IEEE Transactions on Industrial Informatics, Volume. 10, Issue No. 2, 2016. 18. Zimu Zhou, Zheng Yang, Chenshu Wu, Wei Sun, Yunhao Liu, “Li-Fi: Line-ofSight Identification with Wi-Fi”, IEEE Conference on Computer Communications, pp. 2688 – 2696, 2017. 19. Víctor Monzon Baeza, Matilde Sánchez-Fernandez, Ana Garcia Armada, Antonio Royo, “Testbed for a Li-Fi System Integrated in Streetlights”, European Conference on Networks and Communications, pp. 517-521, 2019. 20. Wen-Shing Tsai, Hai-Han Lu, Chung-Yi Li, Ting-Chieh Lu, Chen-Hong Liao, Chien-An Chu, Peng-Chun Peng, “A 50-m/40 Gb/s 680-nm VCSEL-Based FSO Communication”, IEEE Photonics Journal, Volume. 8, Issue No. 2, 2018.