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Connectivity on Underwater MI-Assisted Acoustic Cooperative MIMO Networks †
In traditional underwater wireless sensor networks (UWSNs), it is difficult to establish reliable communication links as the acoustic wave experiences severe multipath effect, channel fading, and ambient noise. Recently, with the assistance of magnetic induction (MI) technique, cooperative multi-inp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308852/ https://www.ncbi.nlm.nih.gov/pubmed/32532148 http://dx.doi.org/10.3390/s20113317 |
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author | Ren, Qingyan Sun, Yanjing Huo, Yu Zhang, Liang Li, Song |
author_facet | Ren, Qingyan Sun, Yanjing Huo, Yu Zhang, Liang Li, Song |
author_sort | Ren, Qingyan |
collection | PubMed |
description | In traditional underwater wireless sensor networks (UWSNs), it is difficult to establish reliable communication links as the acoustic wave experiences severe multipath effect, channel fading, and ambient noise. Recently, with the assistance of magnetic induction (MI) technique, cooperative multi-input-multi-output (MIMO) is utilized in UWSNs to enable the reliable long range underwater communication. Compared with the acoustic-based UWSNs, the UWSNs adopting MI-assisted acoustic cooperative MIMO are referred to as heterogeneous UWSNs, which are able to significantly improve the effective cover space and network throughput. Due to the complex channel characteristics and the heterogeneous architecture, the connectivity of underwater MI-assisted acoustic cooperative MIMO networks is much more complicated than that of acoustic-based UWSNs. In this paper, a mathematical model is proposed to analyze the connectivity of the networks, which considers the effects of channel characteristics, system parameters, and synchronization errors. The lower and upper bounds of the connectivity probability are also derived, which provide guidelines for the design and deployment of underwater MI-assisted acoustic cooperative MIMO networks. Monte Carlo simulations were performed, and the results validate the accuracy of the proposed model. |
format | Online Article Text |
id | pubmed-7308852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73088522020-06-25 Connectivity on Underwater MI-Assisted Acoustic Cooperative MIMO Networks † Ren, Qingyan Sun, Yanjing Huo, Yu Zhang, Liang Li, Song Sensors (Basel) Article In traditional underwater wireless sensor networks (UWSNs), it is difficult to establish reliable communication links as the acoustic wave experiences severe multipath effect, channel fading, and ambient noise. Recently, with the assistance of magnetic induction (MI) technique, cooperative multi-input-multi-output (MIMO) is utilized in UWSNs to enable the reliable long range underwater communication. Compared with the acoustic-based UWSNs, the UWSNs adopting MI-assisted acoustic cooperative MIMO are referred to as heterogeneous UWSNs, which are able to significantly improve the effective cover space and network throughput. Due to the complex channel characteristics and the heterogeneous architecture, the connectivity of underwater MI-assisted acoustic cooperative MIMO networks is much more complicated than that of acoustic-based UWSNs. In this paper, a mathematical model is proposed to analyze the connectivity of the networks, which considers the effects of channel characteristics, system parameters, and synchronization errors. The lower and upper bounds of the connectivity probability are also derived, which provide guidelines for the design and deployment of underwater MI-assisted acoustic cooperative MIMO networks. Monte Carlo simulations were performed, and the results validate the accuracy of the proposed model. MDPI 2020-06-10 /pmc/articles/PMC7308852/ /pubmed/32532148 http://dx.doi.org/10.3390/s20113317 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 Ren, Qingyan Sun, Yanjing Huo, Yu Zhang, Liang Li, Song Connectivity on Underwater MI-Assisted Acoustic Cooperative MIMO Networks † |
title | Connectivity on Underwater MI-Assisted Acoustic Cooperative MIMO Networks † |
title_full | Connectivity on Underwater MI-Assisted Acoustic Cooperative MIMO Networks † |
title_fullStr | Connectivity on Underwater MI-Assisted Acoustic Cooperative MIMO Networks † |
title_full_unstemmed | Connectivity on Underwater MI-Assisted Acoustic Cooperative MIMO Networks † |
title_short | Connectivity on Underwater MI-Assisted Acoustic Cooperative MIMO Networks † |
title_sort | connectivity on underwater mi-assisted acoustic cooperative mimo networks † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308852/ https://www.ncbi.nlm.nih.gov/pubmed/32532148 http://dx.doi.org/10.3390/s20113317 |
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