Salinity Effect on Red-light laser transmission based on Underwater Wireless Optical Communication system.

Authors

  • Elaf I. Khalil alabbasi Department of physics, Collage of science, University of Diyala, Diyala , Iraq.
  • Gailan A. Al-Dainy alabbasi Department of physics, Collage of science, University of Diyala, Diyala , Iraq.
  • Ammar A. Hassen alabbasi Department of physics, Collage of science, University of Diyala, Diyala , Iraq.
  • Mohammad A.Kadhum alabbasi Department of physics, Collage of science, University of Diyala, Diyala , Iraq.
  • Waleed A. Aelawi alabbasi Department of physics, Collage of science, University of Diyala, Diyala , Iraq.

DOI:

https://doi.org/10.24237/

Keywords:

UWOC, Salinity Effect, Red Laser Transmission, Absorption and Scattering Coefficients, Attenuation Coefficient, Signal Clarity, Laser Communication

Abstract

In this work, the behavior of 650 nm red laser signals based on underwater wireless optical communication system was experimentally and theoretically investigated in different salinity levels (0–60)g/L. The values of absorption and scattering coefficients for marine environment have been theoretically estimated based on visible wavelength region.  The theoretical results showed that the (400-550) nm intervals consider high windows for the laser light leading to lower absorption coefficients. However, at high salinity marine environment (Coastal-ocean), the light windows of water showed almost non-existent or negligible effects for the entire visible region. This finding indicated that the scattering process at specific water type slightly decreases with increasing the wavelength. This investigation is important to select 650 nm red lasers as best visible widow of efficient UWOC system especially for high impurity (dense) and/or saline water. It was found that the amount of losses in power at maximum link decrease with increasing salt concentration due to the negative effect of salinity on underwater signal transmission. When the salt concentration increased the practical signal-to-noise ratio value decreases due to large increasing in the transmission losses due to negative effect of the attenuation onto transmitted signal. Furthermore, the experimental of refraction index based on different water channels and temperatures was measured and compared with and theoretical estimation. This finding show that increases the salt concentrations led to increasing the index, while it decreases with increasing the temperatures.

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References

1. B. R. Angara, P. Shanmugam and H. Ramachandran, Underwater Wireless Optical Communication System Channel Modeling with Oceanic Bubbles and Water Constituents under Different Wind Conditions, IEEE Photonics J, Vol. 15, No. 2, 2023. DOI: 10.1109/JPHOT.2023.3258500.

2. M. F. Ali, D. K. Jayakody, Y. Li, Recent Trends in Underwater Visible Light Communication (UVLC) Systems, IEEE Access, vol. 10, pp. 22169-22225, 2022, DOI: 10.1109/ACCESS.2022.3150093.

3. M. Sait, Y. Guo, O. Alkhazragi, M. Kong, T. K. Ng, and B. S. Ooi, The Impact of Vertical Salinity Gradient on Non-Line-of-Sight Underwater Optical Wireless Communication, IEEE Photonics J, Vol. 13, No. 6, pp. 1-9, Dec. 2021, DOI: 10.1109/JPHOT.2021.3121169.

4. X. Ke and G. Li, Characterization of Blue-Green Light Non-Line-of-Sight Transmission in Seawater, OPJ, Vol.12, No.11, pp234-252, 2022, DOI: 10.4236/opj.2022.1211018.

5. L. J. Johnson, R. J. Green, and M. S. LeesonL, The impact of link orientation in underwater optical wireless communication systems, IEEE. Location: St. John's, NL, Canada, 2014, pp. 1-8, DOI: 10.1109/OCEANS.2014.7003030.

6. F. Chengwei, S. Li, Y. Wang, and K. Wang, High-Speed Underwater Optical Wireless Communication with Advanced Signal Processing Methods Survey, Photonics, Vol. 10, No. 7: 811. (2023), DOI: org/10.3390/photonics10070811.

7. T. Wu, Y. Chi, H. Wang, C. Tsai & G. Lin,. Blue Laser Diode Enables Underwater Communication at 12.4 Gbps, Sci. Rep., Vol.7, No. 40480, pp(1-9), (2017). DOI:.org/10.1038/srep40480.

8. W.W. Hassan, M. S. Sabril, F. Jasman, and S. M. Idrus. Experimental Study of Light Wave Propagation for Underwater Optical Wireless Communication (UOWC), J. Commun.,Vol. 17, No. 1,(202 2), DOI: 10.12720/jcm.

9. Y. P. Arultean, P.Suresh, T. V. S. Pillai, Analysis of Pulse Modulation Schemes in Underwater Communication Using Different Laser Sources, J. Environ. Nanotechnol.. Vol.4, No.1 pp.1-12, (2015). DOI: org/10.13074/jent.2015.03.144118.

10. X. Ji, H. Yin, L. Jing, Y. Liang, and J. Wang., Modeling and performance analysis of oblique underwater optical communication links considering turbulence effects based on seawater depth layering. Opt. Express, 23; 30(11): pp 18874-18888, (2022), DOI: 10.1364/OE.453918.

11. Y. Zhao, J. Zhao, Y. Peng, R. Tong, and L. Cai, Simultaneous Measurement of Seawater Salinity and Temperature with Composite Fiber-Optic Interferometer, IEEE Trans. Instrum. Meas., vol. 71, pp. 1-8, (2022), DOI:: 10.1109/TIM.2021.3137855.

12. Y. Gang, Z. Tian, Z. Bi, Z. Cui, F. Sun, and Q. Liu, Measurement of the Attenuation Coefficient in Fresh Water Using the Adjacent Frame Difference Method, Photonics, Vol. 9, No. 10: 713. (2022), DOI: org/10.3390/photonics9100713.

13. T. Ryusei, S. Hayashi, K. Watanabe, L. Jikun, T. Iida, J. Suzuki, and S. Uchida, Optical Wireless Power Transmission under Deep Seawater Using GaInP Solar Cells, Energies, Vol.17, No. 7: 1572, (2024). DOI:.org/10.3390/en17071572.

14. M. Bachar, N. Ferko, M. Abdallah, B. Neji, and S. Vrtagic, Study and Design of a Machine Learning-Enabled Laser-Based Sensor for Pure and Sea Water Determination Using COMSOL Multiphysics, Appl. Sci, Vol. 12, No. 13: 6693, (2022), DOI: org/10.3390/app12136693.

15. H. Eisenberg, Equation for the Refractive Index of Water, J. Chem. Phys., Vol. 43, No.11,pp 3887–3892, (1965), DOI: org/10.1063/1.1696616.

16. S. Kumar, S. Prince, J. V. Aravind, S. Kumar ,Analysis on the effect of salinity in underwater wireless optical communication, Mar. Georesources Geotechnol., Vol. 38, No. 3, PP 291–301.(2019) DOI: org/10.1080/1064119X.2019.1569739.

17. S. Al-Zhrani, N. M. Bedaiwi, I. F. El-Ramli, A. Z. Barasheed, A. Abduldaiem, Y. Al-Hadeethi, and A. Umar, Underwater Optical Communications: A Brief Overview and Recent Developments, Eng. Sci, 16, pp146–186, (2021), DOI:10.30919/es8d574.

18. F. Miramirkhani, and M. Uysal, Visible Light Communication Channel Modeling for Underwater Environments With Blocking and Shadowing, IEEE Access, vol. 6, pp. 1082-1090, (2018), DOI:10.1109/ACCESS.2017.2777883.

19. H. R. Gordon, O. B. Brown, and M. M. Jacobs, Computed Relationships Between the Inherent and Apparent Optical Properties of a Flat Homogeneous Ocean, Appl. Opt, 14, 417-427, (1975), DOI:.org/10.1364/AO.14.000417.

20. B. M. Cochenour; L. J. Mullen, and A. E. Laux, Characterization of the beam-spread function for underwater wireless optical communications links, IEEE J. Oceanic Eng. , 33(4), pp 513-521, (2008), DOI: 10.1109/JOE.2008.2005341.

21. F. Hanson and S. Radic, High bandwidth underwater optical communication, Appl. Opt., Vol. 47, No.2, pp. 277-283, (2008), DOI: org/10.1364/AO.47.000277

22. L. Prieur, and S. Sathyendranath, An Optical Classification of Coastal and Oceanic Waters Based on the Specific Spectral Absorption Curves of Phytoplankton Pigments, Dissolved Organic Matter, and Other Particulate Materials, L & O, Vol. 26, No. 4, pp. 671-689, (1981), DOI: 10.4319/lo.1981.26.4.0671

23. C. M. G. Gussen, P. S. R. Diniz, M. L. R. Campos, W. A. Martins, Felipe M. Costa, and Jonathan N. Gois, A Survey of Underwater Wireless Communication Technologies, JCIS,, VOL. 31, No. 1, (2016.) DOI: 10.14209/jcis.2016.22.

24. K. A. Keskin, F. Genc, S. A. Arpali, Ö. K. Catmakas and Y. Baykal, .Effects of focused and collimated laser beams on the performance of underwater wireless optical communication links. 4th IWOW,, pp.41-45, (2015), DOI: 10.1109/IWOW.2015.7342262.

25. R. B. Ruiz, P. Serrano, B. C. Vázquez, A. Zambrana, and J. M. Balsells., Capacity of underwater optical wireless communication systems over salinity-induced oceanic turbulence channels with ISI. Opt. Express, Vol. 29, No. 15,pp23142-23158, (2021), DOI:10.1364/OE.430200

26. Y. Ata and K, Kiasaleh, Analysis of Optical Wireless Communication Links in Turbulent Underwater Channels With Wide Range of Water Parameters, IEEE TVT, Vol. 72, No. 5, pp. 6363-6374, (2023), DOI:10.1109/TVT.2023.3235823.

27. M. Singh, M. Singh, R. Singh, H. Kaur, P. Chohan, and S. Kaur, Comprehensive experimental and statistical analysis of the effects of salinity gradient, temperature gradient air bubbles on the performance of underwater wireless optical communication link, J. Mod. Opt., vol. 69, pp978 - 994, (2022), DOI:10.1080/09500340.2022.2107247.

28. Y. Z. Yacobi, J. Köhler, F. Leunert, A. Gitelson, Phycocyanin-specific absorption coefficient: Eliminating the effect of chlorophylls absorption, L&O Methods, Vol. 13, 4, PP 157-168, (2015),doi.org/10.1002/lom3.10015

29. S. Spagnolo, Giuseppe, L. Cozzella, and F. Leccese, Underwater Optical Wireless Communications: Overview, Sensors, Vol. 20, No. 8,pp 2261, (2020), DOI:.org/10.3390/s20082261

30. J. Xu, Y. Song, X. Yu, Aobo Lin, M. Kong, J. Han, and N. Deng, Underwater wireless transmission of high-speed QAM-OFDM signals using a compact red-light laser, Opt. Express; Vol.24, No.8, pp8097-109, (2016), DOI:10.1364/OE.24.008097.

31. T. Fujiki, and S. Taguchi, Variability in chlorophyll a specific absorption coefficient in marine phytoplankton as a function of cell size and irradiance Get access Arrow, J. Plankton Res., Vol. 24, No.9, PP 859–874, (2002), DOI: org/10.1093/plankt/24.9.859.

32. A. A. Ponnle, O. A. Ojediran, and S, A. Oyetunji, An Alternative Experimental Method for Determination of Light Beam Attenuation Coefficient in Underwater Wireless Optical Communication, EJECE, Vol. 6 No. 3 , (2022), DOI:10.24018/ejece.2022.6.3.439.

33. A. N. Bashkatov, and E. A. Genina, Water refractive index in dependence on temperature and wavelength: a simple approximation, Proceedings of the SPIE, Vol. 5068, p. 393-395, (2003), DOI:10.1117/12.518857.

34. S. Singh, Diffraction method measures refractive indices of liquids, Phys. Educ. ,Vol. 39, No.3, (2004), DOI 10.1088/0031-9120/39/3/F05.

35. S. Nemoto, Measurement of the refractive index of liquid using laser beam displacement," Appl. Opt. 31, PP 6690-6694, (1992), DOI: org/10.1364/AO.31.006690.

36. O. A. Ojediran, A. Ponnle, S. Oyetunji, Experimental Study on Transmission of Visible Light in Table Salt Water and Effect on Underwater Wireless Optical Communication, EJECE, 6(2) 25-32, (2022) DOI:10.24018/ejece.2022.6.2.425.

37. H. Hodara, and R .J. Marquedant, The signal/noise ratio concept in underwater, Optics. Appl Opt., Vol. 7(3), PP 527-34. (1968), DOI:10.1364/AO.7.000527.

38. A. Shofuro, A. Wijayanto, Y. g Liu, S. Liaw, P. Lee, C. Yeh, and O. Hiroshi., Study on Temperature and Water Turbulence Impact on Saline Water-Based Wireless Optical Communication, Photonics, Vol. 10, No. 4: 383. PP 2-10, (2023) DO1: org/10.3390/photonics10040383

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Published

2026-07-30

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How to Cite

alabbasi, E. I. K., alabbasi, G. A. A.-D., alabbasi, A. A. H., alabbasi, M. A., & alabbasi, W. A. A. (2026). Salinity Effect on Red-light laser transmission based on Underwater Wireless Optical Communication system. ASJ - Academic Science Journal, 4(03), 147-155. https://doi.org/10.24237/

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