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Effects of Multipath Attenuation in the Optical Communication-Based Internet of Underwater Things

The propagation of light underwater is tied closely to the optical properties of water. In particular, the underwater channel imposes attenuation on the optical signal in the form of scattering, absorption, and turbulence. These attenuation factors can lead to severe spatial and temporal dispersion,...

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Detalles Bibliográficos
Autores principales: Qadar, Rabia, Bin Qaim, Waleed, Nurmi, Jari, Tan, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663492/
https://www.ncbi.nlm.nih.gov/pubmed/33143235
http://dx.doi.org/10.3390/s20216201
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author Qadar, Rabia
Bin Qaim, Waleed
Nurmi, Jari
Tan, Bo
author_facet Qadar, Rabia
Bin Qaim, Waleed
Nurmi, Jari
Tan, Bo
author_sort Qadar, Rabia
collection PubMed
description The propagation of light underwater is tied closely to the optical properties of water. In particular, the underwater channel imposes attenuation on the optical signal in the form of scattering, absorption, and turbulence. These attenuation factors can lead to severe spatial and temporal dispersion, which restricts communication to a limited range and bandwidth. In this paper, we propose a statistical model to estimate the probability density function of the temporal dispersion in underwater wireless optical communication (UWOC) based Internet of Underwater Things (IoUTs) using discrete histograms. The underwater optical channel is modeled using Monte Carlo simulations, and the effects of temporal dispersion are presented by measuring the magnitude response of the channel in terms of received power. The temporal response analysis is followed by an extensive performance evaluation in terms of bit error rate (BER). To facilitate in-depth theoretical analysis, we have measured and presented magnitude response and BER of the channel under different field-of-views (FoVs), apertures, and water types. The three main areas under study are (i) BER versus link distance behavior, (ii) temporal response of the channel, and (iii) effect of scattering on photon travel. Our study shows the two main factors that contribute to beam spreading and temporal dispersion are (i) diffusivity of the optical source and (ii) multiple scattering. Furthermore, our results suggest that temporal dispersion caused due to multiple scattering cannot be mitigated completely; however, it can be minimized by optimizing the receiver aperture.
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spelling pubmed-76634922020-11-14 Effects of Multipath Attenuation in the Optical Communication-Based Internet of Underwater Things Qadar, Rabia Bin Qaim, Waleed Nurmi, Jari Tan, Bo Sensors (Basel) Article The propagation of light underwater is tied closely to the optical properties of water. In particular, the underwater channel imposes attenuation on the optical signal in the form of scattering, absorption, and turbulence. These attenuation factors can lead to severe spatial and temporal dispersion, which restricts communication to a limited range and bandwidth. In this paper, we propose a statistical model to estimate the probability density function of the temporal dispersion in underwater wireless optical communication (UWOC) based Internet of Underwater Things (IoUTs) using discrete histograms. The underwater optical channel is modeled using Monte Carlo simulations, and the effects of temporal dispersion are presented by measuring the magnitude response of the channel in terms of received power. The temporal response analysis is followed by an extensive performance evaluation in terms of bit error rate (BER). To facilitate in-depth theoretical analysis, we have measured and presented magnitude response and BER of the channel under different field-of-views (FoVs), apertures, and water types. The three main areas under study are (i) BER versus link distance behavior, (ii) temporal response of the channel, and (iii) effect of scattering on photon travel. Our study shows the two main factors that contribute to beam spreading and temporal dispersion are (i) diffusivity of the optical source and (ii) multiple scattering. Furthermore, our results suggest that temporal dispersion caused due to multiple scattering cannot be mitigated completely; however, it can be minimized by optimizing the receiver aperture. MDPI 2020-10-30 /pmc/articles/PMC7663492/ /pubmed/33143235 http://dx.doi.org/10.3390/s20216201 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qadar, Rabia
Bin Qaim, Waleed
Nurmi, Jari
Tan, Bo
Effects of Multipath Attenuation in the Optical Communication-Based Internet of Underwater Things
title Effects of Multipath Attenuation in the Optical Communication-Based Internet of Underwater Things
title_full Effects of Multipath Attenuation in the Optical Communication-Based Internet of Underwater Things
title_fullStr Effects of Multipath Attenuation in the Optical Communication-Based Internet of Underwater Things
title_full_unstemmed Effects of Multipath Attenuation in the Optical Communication-Based Internet of Underwater Things
title_short Effects of Multipath Attenuation in the Optical Communication-Based Internet of Underwater Things
title_sort effects of multipath attenuation in the optical communication-based internet of underwater things
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663492/
https://www.ncbi.nlm.nih.gov/pubmed/33143235
http://dx.doi.org/10.3390/s20216201
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