Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks

In this paper, we study the performance of the energy detector when considered for binary hypothesis decision fusion in underwater acoustic wireless sensor networks with a multiple-access reporting channel. Energy detection is appealing in terms of computational complexity and limited system knowled...

Full description

Saved in:
Bibliographic Details
Published in:IEEE sensors journal 2015-03, Vol.15 (3), p.1630-1640
Main Authors: Salvo Rossi, Pierluigi, Ciuonzo, Domenico, Ekman, Torbjorn, Hefeng Dong
Format: Article
Language:English
Subjects:
Decision fusion
energy detection
MIMO
multiple-input multiple-output (MIMO)
Receivers
Sensor fusion
Signal to noise ratio
Underwater acoustics
underwater sensor networks
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c265t-ceec78c7430818696f6e25395a39725aa093f0de0fb1aca418a0b9838bf77d723
cites cdi_FETCH-LOGICAL-c265t-ceec78c7430818696f6e25395a39725aa093f0de0fb1aca418a0b9838bf77d723
container_end_page 1640
container_issue 3
container_start_page 1630
container_title IEEE sensors journal
container_volume 15
creator Salvo Rossi, Pierluigi
Ciuonzo, Domenico
Ekman, Torbjorn
Hefeng Dong
description In this paper, we study the performance of the energy detector when considered for binary hypothesis decision fusion in underwater acoustic wireless sensor networks with a multiple-access reporting channel. Energy detection is appealing in terms of computational complexity and limited system knowledge requirements, i.e., channel state information, signal-to-noise ratio, and local performance of the sensors are not needed at the receiver side, then the interest for performance assessment over underwater acoustic channels arises. Here, we demonstrate that energy detection may be applied with good results to underwater sensor networks. The impact on the performance of various design parameters is considered, including sampling frequency, number of transmitting sensors, and number of receiving elements (hydrophones).
doi_str_mv 10.1109/JSEN.2014.2364856
format article
fullrecord <record><control><sourceid>crossref_ieee_</sourceid><recordid>TN_cdi_ieee_primary_6934984</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6934984</ieee_id><sourcerecordid>10_1109_JSEN_2014_2364856</sourcerecordid><originalsourceid>FETCH-LOGICAL-c265t-ceec78c7430818696f6e25395a39725aa093f0de0fb1aca418a0b9838bf77d723</originalsourceid><addsrcrecordid>eNo9kMlOwzAYhC0EEqXwAIhLXiDF-3JEJS1FXQ6lEjfLcX6jsCTIDqr69iS04jSj0cwcPoRuCZ4Qgs3987ZYTygmfEKZ5FrIMzQiQuicKK7PB89wzpl6vURXKb1jTIwSaoTmRQPx7ZA9Qge-q9smC23MVovVpo98nYZk9vMndZPtmgri3nUQsy00qW-uodu38SNdo4vgPhPcnHSMdrPiZfqULzfzxfRhmXsqRZd7AK-0V5xhTbQ0MkigghnhmFFUOIcNC7gCHErivONEO1wazXQZlKoUZWNEjr8-tilFCPY71l8uHizBdiBhBxJ2IGFPJPrN3XFTA8B_XxrGjebsF-66Wgc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks</title><source>IEEE Xplore (Online service)</source><creator>Salvo Rossi, Pierluigi ; Ciuonzo, Domenico ; Ekman, Torbjorn ; Hefeng Dong</creator><creatorcontrib>Salvo Rossi, Pierluigi ; Ciuonzo, Domenico ; Ekman, Torbjorn ; Hefeng Dong</creatorcontrib><description>In this paper, we study the performance of the energy detector when considered for binary hypothesis decision fusion in underwater acoustic wireless sensor networks with a multiple-access reporting channel. Energy detection is appealing in terms of computational complexity and limited system knowledge requirements, i.e., channel state information, signal-to-noise ratio, and local performance of the sensors are not needed at the receiver side, then the interest for performance assessment over underwater acoustic channels arises. Here, we demonstrate that energy detection may be applied with good results to underwater sensor networks. The impact on the performance of various design parameters is considered, including sampling frequency, number of transmitting sensors, and number of receiving elements (hydrophones).</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2014.2364856</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>IEEE</publisher><subject>Decision fusion ; energy detection ; MIMO ; multiple-input multiple-output (MIMO) ; Receivers ; Sensor fusion ; Signal to noise ratio ; Underwater acoustics ; underwater sensor networks ; Wireless sensor networks</subject><ispartof>IEEE sensors journal, 2015-03, Vol.15 (3), p.1630-1640</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c265t-ceec78c7430818696f6e25395a39725aa093f0de0fb1aca418a0b9838bf77d723</citedby><cites>FETCH-LOGICAL-c265t-ceec78c7430818696f6e25395a39725aa093f0de0fb1aca418a0b9838bf77d723</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6934984$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Salvo Rossi, Pierluigi</creatorcontrib><creatorcontrib>Ciuonzo, Domenico</creatorcontrib><creatorcontrib>Ekman, Torbjorn</creatorcontrib><creatorcontrib>Hefeng Dong</creatorcontrib><title>Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>In this paper, we study the performance of the energy detector when considered for binary hypothesis decision fusion in underwater acoustic wireless sensor networks with a multiple-access reporting channel. Energy detection is appealing in terms of computational complexity and limited system knowledge requirements, i.e., channel state information, signal-to-noise ratio, and local performance of the sensors are not needed at the receiver side, then the interest for performance assessment over underwater acoustic channels arises. Here, we demonstrate that energy detection may be applied with good results to underwater sensor networks. The impact on the performance of various design parameters is considered, including sampling frequency, number of transmitting sensors, and number of receiving elements (hydrophones).</description><subject>Decision fusion</subject><subject>energy detection</subject><subject>MIMO</subject><subject>multiple-input multiple-output (MIMO)</subject><subject>Receivers</subject><subject>Sensor fusion</subject><subject>Signal to noise ratio</subject><subject>Underwater acoustics</subject><subject>underwater sensor networks</subject><subject>Wireless sensor networks</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNo9kMlOwzAYhC0EEqXwAIhLXiDF-3JEJS1FXQ6lEjfLcX6jsCTIDqr69iS04jSj0cwcPoRuCZ4Qgs3987ZYTygmfEKZ5FrIMzQiQuicKK7PB89wzpl6vURXKb1jTIwSaoTmRQPx7ZA9Qge-q9smC23MVovVpo98nYZk9vMndZPtmgri3nUQsy00qW-uodu38SNdo4vgPhPcnHSMdrPiZfqULzfzxfRhmXsqRZd7AK-0V5xhTbQ0MkigghnhmFFUOIcNC7gCHErivONEO1wazXQZlKoUZWNEjr8-tilFCPY71l8uHizBdiBhBxJ2IGFPJPrN3XFTA8B_XxrGjebsF-66Wgc</recordid><startdate>201503</startdate><enddate>201503</enddate><creator>Salvo Rossi, Pierluigi</creator><creator>Ciuonzo, Domenico</creator><creator>Ekman, Torbjorn</creator><creator>Hefeng Dong</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201503</creationdate><title>Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks</title><author>Salvo Rossi, Pierluigi ; Ciuonzo, Domenico ; Ekman, Torbjorn ; Hefeng Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c265t-ceec78c7430818696f6e25395a39725aa093f0de0fb1aca418a0b9838bf77d723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Decision fusion</topic><topic>energy detection</topic><topic>MIMO</topic><topic>multiple-input multiple-output (MIMO)</topic><topic>Receivers</topic><topic>Sensor fusion</topic><topic>Signal to noise ratio</topic><topic>Underwater acoustics</topic><topic>underwater sensor networks</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Salvo Rossi, Pierluigi</creatorcontrib><creatorcontrib>Ciuonzo, Domenico</creatorcontrib><creatorcontrib>Ekman, Torbjorn</creatorcontrib><creatorcontrib>Hefeng Dong</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore (Online service)</collection><collection>CrossRef</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Salvo Rossi, Pierluigi</au><au>Ciuonzo, Domenico</au><au>Ekman, Torbjorn</au><au>Hefeng Dong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2015-03</date><risdate>2015</risdate><volume>15</volume><issue>3</issue><spage>1630</spage><epage>1640</epage><pages>1630-1640</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>In this paper, we study the performance of the energy detector when considered for binary hypothesis decision fusion in underwater acoustic wireless sensor networks with a multiple-access reporting channel. Energy detection is appealing in terms of computational complexity and limited system knowledge requirements, i.e., channel state information, signal-to-noise ratio, and local performance of the sensors are not needed at the receiver side, then the interest for performance assessment over underwater acoustic channels arises. Here, we demonstrate that energy detection may be applied with good results to underwater sensor networks. The impact on the performance of various design parameters is considered, including sampling frequency, number of transmitting sensors, and number of receiving elements (hydrophones).</abstract><pub>IEEE</pub><doi>10.1109/JSEN.2014.2364856</doi><tpages>11</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1530-437X
ispartof IEEE sensors journal, 2015-03, Vol.15 (3), p.1630-1640
issn 1530-437X
1558-1748
language eng
recordid cdi_ieee_primary_6934984
source IEEE Xplore (Online service)
subjects Decision fusion
energy detection
MIMO
multiple-input multiple-output (MIMO)
Receivers
Sensor fusion
Signal to noise ratio
Underwater acoustics
underwater sensor networks
Wireless sensor networks
title Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T20%3A39%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Energy%20Detection%20for%20MIMO%20Decision%20Fusion%20in%20Underwater%20Sensor%20Networks&rft.jtitle=IEEE%20sensors%20journal&rft.au=Salvo%20Rossi,%20Pierluigi&rft.date=2015-03&rft.volume=15&rft.issue=3&rft.spage=1630&rft.epage=1640&rft.pages=1630-1640&rft.issn=1530-437X&rft.eissn=1558-1748&rft.coden=ISJEAZ&rft_id=info:doi/10.1109/JSEN.2014.2364856&rft_dat=%3Ccrossref_ieee_%3E10_1109_JSEN_2014_2364856%3C/crossref_ieee_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c265t-ceec78c7430818696f6e25395a39725aa093f0de0fb1aca418a0b9838bf77d723%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6934984&rfr_iscdi=true