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.
| Published in | Advances in Networks (Volume 3, Issue 3) |
| DOI | 10.11648/j.net.20150303.11 |
| 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), 2015. Published by Science Publishing Group |
Cross-correlation Function (CCF), Dispersion Coefficient (k), Multipath Propagation Effects, Network Size Estimation, Underwater Acoustic Channel (UAC), Underwater Network
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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
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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Download@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://article.sciencepublishinggroup.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}
}
TY - JOUR T1 - A Robust Signal Processing Approach of Underwater Network Size Estimation Taking Multipath Propagation Effects into Account AU - Md. Shamim Anower AU - Shah Ariful Hoque Chowdhury AU - Jishan-E-Giti Y1 - 2015/10/13 PY - 2015 N1 - https://doi.org/10.11648/j.net.20150303.11 DO - 10.11648/j.net.20150303.11 T2 - Advances in Networks JF - Advances in Networks JO - Advances in Networks SP - 22 EP - 32 PB - Science Publishing Group SN - 2326-9782 UR - https://doi.org/10.11648/j.net.20150303.11 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. VL - 3 IS - 3 ER -
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