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Energy Detection for MIMO Decision Fusion in Underwater Sensor Network: Critical Review

by Shweta, Vibhav Kumar Sachan, Syed Akhtar Imam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 140 - Number 3
Year of Publication: 2016
Authors: Shweta, Vibhav Kumar Sachan, Syed Akhtar Imam
10.5120/ijca2016909263

Shweta, Vibhav Kumar Sachan, Syed Akhtar Imam . Energy Detection for MIMO Decision Fusion in Underwater Sensor Network: Critical Review. International Journal of Computer Applications. 140, 3 ( April 2016), 33-38. DOI=10.5120/ijca2016909263

@article{ 10.5120/ijca2016909263,
author = { Shweta, Vibhav Kumar Sachan, Syed Akhtar Imam },
title = { Energy Detection for MIMO Decision Fusion in Underwater Sensor Network: Critical Review },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 140 },
number = { 3 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 33-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume140/number3/24576-2016909263/ },
doi = { 10.5120/ijca2016909263 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:41:48.751738+05:30
%A Shweta
%A Vibhav Kumar Sachan
%A Syed Akhtar Imam
%T Energy Detection for MIMO Decision Fusion in Underwater Sensor Network: Critical Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 140
%N 3
%P 33-38
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Underwater sensor network has different applications ranging from environmental monitoring, data collection to survey mission and coastal surveillance. In this paper several fundamental aspects of underwater acoustic communication are discussed in detail. Different architecture and channel model are also been discussed. This paper also covers the latest techniques which are used in order to increase the data rate in underwater acoustic communication. The performance of the energy detector which is considered for binary hypothesis decision fusion has been reviewed and analyzed on different parameters of the investigation. This paper is based on a MIMO model for underwater acoustic network using Neymen-Pearson/ Bayesian hypothesis testing. Previous investigation and the conclusion will be useful for possible future research direction.

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Index Terms

Computer Science
Information Sciences

Keywords

Decision Fusion Energy detection Multiple-input Multiple-output (MIMO) underwater sensor networks

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