Advances in Networks

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A Robust Signal Processing Approach of Underwater Network Size Estimation Taking Multipath Propagation Effects into Account

Received: 06 September 2015    Accepted: 21 September 2015    Published: 13 October 2015
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Abstract

Underwater network size estimation is inefficient by applying conventional protocol based techniques used for terrestrial networks due to non-negligible capture effect, long propagation delay, high absorption and dispersion of the medium. For this reason, a statistical signal processing approach based on cross-correlation has been proposed in our previous works, which is equally applicable to any environment networks. Initially, this estimation approach was formulated without considering multipath propagation effects. But, one of the common difficulties of underwater or terrestrial wireless communication is multipath propagation. Multipath spread is more severe in underwater acoustic channel (UAC) than terrestrial radio channel. This paper aims to address the multipath propagation issue. To mitigate the effects of multipath propagation, a robust estimation approach using corss-correlation of Gaussian signals received at two sensors has been investigated in this paper.

DOI 10.11648/j.net.20150303.11
Published in Advances in Networks (Volume 3, Issue 3, November 2015)
Page(s) 22-32
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cross-correlation Function (CCF), Dispersion Coefficient (k), Multipath Propagation Effects, Network Size Estimation, Underwater Acoustic Channel (UAC), Underwater Network

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Author Information
  • Electrical & Electronic Engineering Department, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh

  • Electronics & Telecommunication Engineering Department, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh

  • Electrical & Electronic Engineering Department, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh

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  • APA Style

    Md. Shamim Anower, Shah Ariful Hoque Chowdhury, Jishan-E-Giti. (2015). A Robust Signal Processing Approach of Underwater Network Size Estimation Taking Multipath Propagation Effects into Account. Advances in Networks, 3(3), 22-32. https://doi.org/10.11648/j.net.20150303.11

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    ACS Style

    Md. Shamim Anower; Shah Ariful Hoque Chowdhury; Jishan-E-Giti. A Robust Signal Processing Approach of Underwater Network Size Estimation Taking Multipath Propagation Effects into Account. Adv. Netw. 2015, 3(3), 22-32. doi: 10.11648/j.net.20150303.11

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    AMA Style

    Md. Shamim Anower, Shah Ariful Hoque Chowdhury, Jishan-E-Giti. A Robust Signal Processing Approach of Underwater Network Size Estimation Taking Multipath Propagation Effects into Account. Adv Netw. 2015;3(3):22-32. doi: 10.11648/j.net.20150303.11

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  • @article{10.11648/j.net.20150303.11,
      author = {Md. Shamim Anower and Shah Ariful Hoque Chowdhury and Jishan-E-Giti},
      title = {A Robust Signal Processing Approach of Underwater Network Size Estimation Taking Multipath Propagation Effects into Account},
      journal = {Advances in Networks},
      volume = {3},
      number = {3},
      pages = {22-32},
      doi = {10.11648/j.net.20150303.11},
      url = {https://doi.org/10.11648/j.net.20150303.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.net.20150303.11},
      abstract = {Underwater network size estimation is inefficient by applying conventional protocol based techniques used for terrestrial networks due to non-negligible capture effect, long propagation delay, high absorption and dispersion of the medium. For this reason, a statistical signal processing approach based on cross-correlation has been proposed in our previous works, which is equally applicable to any environment networks. Initially, this estimation approach was formulated without considering multipath propagation effects. But, one of the common difficulties of underwater or terrestrial wireless communication is multipath propagation. Multipath spread is more severe in underwater acoustic channel (UAC) than terrestrial radio channel. This paper aims to address the multipath propagation issue. To mitigate the effects of multipath propagation, a robust estimation approach using corss-correlation of Gaussian signals received at two sensors has been investigated in this paper.},
     year = {2015}
    }
    

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    AB  - Underwater network size estimation is inefficient by applying conventional protocol based techniques used for terrestrial networks due to non-negligible capture effect, long propagation delay, high absorption and dispersion of the medium. For this reason, a statistical signal processing approach based on cross-correlation has been proposed in our previous works, which is equally applicable to any environment networks. Initially, this estimation approach was formulated without considering multipath propagation effects. But, one of the common difficulties of underwater or terrestrial wireless communication is multipath propagation. Multipath spread is more severe in underwater acoustic channel (UAC) than terrestrial radio channel. This paper aims to address the multipath propagation issue. To mitigate the effects of multipath propagation, a robust estimation approach using corss-correlation of Gaussian signals received at two sensors has been investigated in this paper.
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