Implementing IoT in Underwater Communication using Li-Fi
Balaji K1, S. Shakthivel Murugan2
1Balaji K, Assistant Professor, Department of Electronics and Communication Engineering, Mailam Engineering College (Tamil Nadu), India.
2Dr. S. Shakthivel Murugan, Associate Professor, Department of Electronics and Communication Engineering, SSN College of Engineering, (Tamil Nadu), India.
Manuscript received on 08 July 2019 | Revised Manuscript received on 18 August 2019 | Manuscript Published on 27 August 2019 | PP: 958-964 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B11900782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1190.0782S419
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet of Things (IoT) is attracting more research interest as a result of increased interaction of human with underwater world. IoT technology using Light fidelity (Li-Fi) module plays a vital role in Environmental monitoring, underwater exploration, underwater Disaster management and underwater military Applications. In this paper, we implement IoT in underwater communication using Li-Fi module. However Implementing Li-Fi module in underwater pose grand challenges due to the unique features of underwater channel and acoustic systems. We comprehensively investigate these unique features and finally possible solutions are provided. Simulations are done using MATLAB software to find which color of light emitting diode (LED) is suitable for underwater Communication. It is found that Blue – Cyan-Green Spectral range of wavelength 490nm to 560nm is suitable for underwater communication. We obtain low absorption, scattering and attenuation loss in the Blue – CyanGreen Spectral range. An application was developed for the fisherman to identify number and variety of fishes available in particular location.
Keywords: IoT, Li-Fi, Underwater, Blue-Cyan-Green Spectral Range.
Scope of the Article: IoT