Loading…

Towards Energy-Efficient and Delay-Optimized Opportunistic Routing in Underwater Acoustic Sensor Networks for IoUT Platforms: An Overview and New Suggestions

In underwater acoustic sensor networks (UASNs), the reliable transfer of data from the source nodes located underwater to the destination nodes at the surface through the network of intermediate nodes is a significant challenge due to various unique characteristics of UASN such as continuous mobilit...

Full description

Saved in:
Bibliographic Details
Published in:Computational intelligence and neuroscience 2022-03, Vol.2022, p.7061617-15
Main Authors: Menon, Varun G., Midhunchakkaravarthy, Divya, Sujith, Aaromal, John, Sonali, Li, Xingwang, Khosravi, Mohammad R.
Format: Article
Language:English
Subjects:
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-c406t-2f6281971977bb9ac332965636e3bfb675fa20b80ceb15fa868950487d3ea4ca3
cites cdi_FETCH-LOGICAL-c406t-2f6281971977bb9ac332965636e3bfb675fa20b80ceb15fa868950487d3ea4ca3
container_end_page 15
container_issue
container_start_page 7061617
container_title Computational intelligence and neuroscience
container_volume 2022
creator Menon, Varun G.
Midhunchakkaravarthy, Divya
Sujith, Aaromal
John, Sonali
Li, Xingwang
Khosravi, Mohammad R.
description In underwater acoustic sensor networks (UASNs), the reliable transfer of data from the source nodes located underwater to the destination nodes at the surface through the network of intermediate nodes is a significant challenge due to various unique characteristics of UASN such as continuous mobility of sensor nodes, increased propagation delay, restriction in energy, and heightened interference. Recently, the location-based opportunistic routing protocols seem to show potential by providing commendable quality of service (QoS) in the underwater environment. This study initially reviews all the latest location-based opportunistic routing protocols proposed for UASNs and discusses its possible limitations and challenges. Most of the existing works focus either on improving the QoS or on energy efficiency, and the few hybrid protocols that focus on both parameters are too complex with increased overhead and lack techniques to overcome communication voids. Further, this study proposes and discusses an easy-to-implement energy-efficient location-based opportunistic routing protocol (EELORP) that can work efficiently for various applications of UASN-assisted Internet of Underwater Things (IoUTs) platforms with reduced delay. We simulate the protocol in Aqua-Sim, and the results obtained show better performance than existing protocols in terms of QoS and energy efficiency.
doi_str_mv 10.1155/2022/7061617
format article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8947909</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A698473644</galeid><sourcerecordid>A698473644</sourcerecordid><originalsourceid>FETCH-LOGICAL-c406t-2f6281971977bb9ac332965636e3bfb675fa20b80ceb15fa868950487d3ea4ca3</originalsourceid><addsrcrecordid>eNp9kk1v1DAQhiMEou3CjTOyxAUJQv2R2EkPSKt2gUpVF9Hds-U4TuqS2MFONlr-C_8VZ3dZPg5IlmZG8-idGeuNohcIvkMoTc8xxPicQYooYo-iU0QzFqeYkcfHnKYn0Zn3DxCmLIX4aXRCUpIgxMhp9GNlR-FKDxZGuXobL6pKS61MD4QpwZVqxDZedr1u9XdVgmXXWdcPRvteS_DFDr02NdAGrE2p3Ch65cBc2mHXvlPGWwduVT9a99WDKhTXdr0CnxvRh6L1F2BuwHKj3EarcTfwNsS7oa5VULDGP4ueVKLx6vkhzqL1h8Xq8lN8s_x4fTm_iWUCaR_jiuIM5Sw8VhS5kITgnKaUUEWKqqAsrQSGRQalKlDIM5rlKUwyVhIlEinILHq_1-2GolWlDPc70fDO6Va4LbdC8787Rt_z2m54licsh3kQeH0QcPbbELbnrfZSNY0wKnwHxzRJSNhnh776B32wgzPhvIkiGUaEoN9ULRrFtalsmCsnUT6neZYwMinOord7SjrrvVPVcWUE-eQOPrmDH9wR8Jd_nnmEf9khAG_2wL02pRj1_-V-AgWjw10</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2643821331</pqid></control><display><type>article</type><title>Towards Energy-Efficient and Delay-Optimized Opportunistic Routing in Underwater Acoustic Sensor Networks for IoUT Platforms: An Overview and New Suggestions</title><source>Publicly Available Content Database</source><source>Wiley Journals Open Access</source><creator>Menon, Varun G. ; Midhunchakkaravarthy, Divya ; Sujith, Aaromal ; John, Sonali ; Li, Xingwang ; Khosravi, Mohammad R.</creator><contributor>Sah Tyagi, Sumarga Kumar ; Sumarga Kumar Sah Tyagi</contributor><creatorcontrib>Menon, Varun G. ; Midhunchakkaravarthy, Divya ; Sujith, Aaromal ; John, Sonali ; Li, Xingwang ; Khosravi, Mohammad R. ; Sah Tyagi, Sumarga Kumar ; Sumarga Kumar Sah Tyagi</creatorcontrib><description>In underwater acoustic sensor networks (UASNs), the reliable transfer of data from the source nodes located underwater to the destination nodes at the surface through the network of intermediate nodes is a significant challenge due to various unique characteristics of UASN such as continuous mobility of sensor nodes, increased propagation delay, restriction in energy, and heightened interference. Recently, the location-based opportunistic routing protocols seem to show potential by providing commendable quality of service (QoS) in the underwater environment. This study initially reviews all the latest location-based opportunistic routing protocols proposed for UASNs and discusses its possible limitations and challenges. Most of the existing works focus either on improving the QoS or on energy efficiency, and the few hybrid protocols that focus on both parameters are too complex with increased overhead and lack techniques to overcome communication voids. Further, this study proposes and discusses an easy-to-implement energy-efficient location-based opportunistic routing protocol (EELORP) that can work efficiently for various applications of UASN-assisted Internet of Underwater Things (IoUTs) platforms with reduced delay. We simulate the protocol in Aqua-Sim, and the results obtained show better performance than existing protocols in terms of QoS and energy efficiency.</description><identifier>ISSN: 1687-5265</identifier><identifier>EISSN: 1687-5273</identifier><identifier>DOI: 10.1155/2022/7061617</identifier><identifier>PMID: 35341173</identifier><language>eng</language><publisher>United States: Hindawi</publisher><subject>Acoustics ; Autonomous underwater vehicles ; Delay ; Energy efficiency ; Energy management systems ; Energy use ; Nodes ; Ocean currents ; Platforms ; Propagation ; Quality of service ; Reviews ; Routing (telecommunications) ; Sensors ; Underwater acoustics ; Wireless networks</subject><ispartof>Computational intelligence and neuroscience, 2022-03, Vol.2022, p.7061617-15</ispartof><rights>Copyright © 2022 Varun G. Menon et al.</rights><rights>COPYRIGHT 2022 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2022 Varun G. Menon et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2022 Varun G. Menon et al. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-2f6281971977bb9ac332965636e3bfb675fa20b80ceb15fa868950487d3ea4ca3</citedby><cites>FETCH-LOGICAL-c406t-2f6281971977bb9ac332965636e3bfb675fa20b80ceb15fa868950487d3ea4ca3</cites><orcidid>0000-0002-3055-9900 ; 0000-0002-2029-5067</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2643821331/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2643821331?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25753,27924,27925,37012,37013,44590,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35341173$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Sah Tyagi, Sumarga Kumar</contributor><contributor>Sumarga Kumar Sah Tyagi</contributor><creatorcontrib>Menon, Varun G.</creatorcontrib><creatorcontrib>Midhunchakkaravarthy, Divya</creatorcontrib><creatorcontrib>Sujith, Aaromal</creatorcontrib><creatorcontrib>John, Sonali</creatorcontrib><creatorcontrib>Li, Xingwang</creatorcontrib><creatorcontrib>Khosravi, Mohammad R.</creatorcontrib><title>Towards Energy-Efficient and Delay-Optimized Opportunistic Routing in Underwater Acoustic Sensor Networks for IoUT Platforms: An Overview and New Suggestions</title><title>Computational intelligence and neuroscience</title><addtitle>Comput Intell Neurosci</addtitle><description>In underwater acoustic sensor networks (UASNs), the reliable transfer of data from the source nodes located underwater to the destination nodes at the surface through the network of intermediate nodes is a significant challenge due to various unique characteristics of UASN such as continuous mobility of sensor nodes, increased propagation delay, restriction in energy, and heightened interference. Recently, the location-based opportunistic routing protocols seem to show potential by providing commendable quality of service (QoS) in the underwater environment. This study initially reviews all the latest location-based opportunistic routing protocols proposed for UASNs and discusses its possible limitations and challenges. Most of the existing works focus either on improving the QoS or on energy efficiency, and the few hybrid protocols that focus on both parameters are too complex with increased overhead and lack techniques to overcome communication voids. Further, this study proposes and discusses an easy-to-implement energy-efficient location-based opportunistic routing protocol (EELORP) that can work efficiently for various applications of UASN-assisted Internet of Underwater Things (IoUTs) platforms with reduced delay. We simulate the protocol in Aqua-Sim, and the results obtained show better performance than existing protocols in terms of QoS and energy efficiency.</description><subject>Acoustics</subject><subject>Autonomous underwater vehicles</subject><subject>Delay</subject><subject>Energy efficiency</subject><subject>Energy management systems</subject><subject>Energy use</subject><subject>Nodes</subject><subject>Ocean currents</subject><subject>Platforms</subject><subject>Propagation</subject><subject>Quality of service</subject><subject>Reviews</subject><subject>Routing (telecommunications)</subject><subject>Sensors</subject><subject>Underwater acoustics</subject><subject>Wireless networks</subject><issn>1687-5265</issn><issn>1687-5273</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9kk1v1DAQhiMEou3CjTOyxAUJQv2R2EkPSKt2gUpVF9Hds-U4TuqS2MFONlr-C_8VZ3dZPg5IlmZG8-idGeuNohcIvkMoTc8xxPicQYooYo-iU0QzFqeYkcfHnKYn0Zn3DxCmLIX4aXRCUpIgxMhp9GNlR-FKDxZGuXobL6pKS61MD4QpwZVqxDZedr1u9XdVgmXXWdcPRvteS_DFDr02NdAGrE2p3Ch65cBc2mHXvlPGWwduVT9a99WDKhTXdr0CnxvRh6L1F2BuwHKj3EarcTfwNsS7oa5VULDGP4ueVKLx6vkhzqL1h8Xq8lN8s_x4fTm_iWUCaR_jiuIM5Sw8VhS5kITgnKaUUEWKqqAsrQSGRQalKlDIM5rlKUwyVhIlEinILHq_1-2GolWlDPc70fDO6Va4LbdC8787Rt_z2m54licsh3kQeH0QcPbbELbnrfZSNY0wKnwHxzRJSNhnh776B32wgzPhvIkiGUaEoN9ULRrFtalsmCsnUT6neZYwMinOord7SjrrvVPVcWUE-eQOPrmDH9wR8Jd_nnmEf9khAG_2wL02pRj1_-V-AgWjw10</recordid><startdate>20220317</startdate><enddate>20220317</enddate><creator>Menon, Varun G.</creator><creator>Midhunchakkaravarthy, Divya</creator><creator>Sujith, Aaromal</creator><creator>John, Sonali</creator><creator>Li, Xingwang</creator><creator>Khosravi, Mohammad R.</creator><general>Hindawi</general><general>John Wiley &amp; Sons, Inc</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TK</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>8AL</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3055-9900</orcidid><orcidid>https://orcid.org/0000-0002-2029-5067</orcidid></search><sort><creationdate>20220317</creationdate><title>Towards Energy-Efficient and Delay-Optimized Opportunistic Routing in Underwater Acoustic Sensor Networks for IoUT Platforms: An Overview and New Suggestions</title><author>Menon, Varun G. ; Midhunchakkaravarthy, Divya ; Sujith, Aaromal ; John, Sonali ; Li, Xingwang ; Khosravi, Mohammad R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-2f6281971977bb9ac332965636e3bfb675fa20b80ceb15fa868950487d3ea4ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Acoustics</topic><topic>Autonomous underwater vehicles</topic><topic>Delay</topic><topic>Energy efficiency</topic><topic>Energy management systems</topic><topic>Energy use</topic><topic>Nodes</topic><topic>Ocean currents</topic><topic>Platforms</topic><topic>Propagation</topic><topic>Quality of service</topic><topic>Reviews</topic><topic>Routing (telecommunications)</topic><topic>Sensors</topic><topic>Underwater acoustics</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Menon, Varun G.</creatorcontrib><creatorcontrib>Midhunchakkaravarthy, Divya</creatorcontrib><creatorcontrib>Sujith, Aaromal</creatorcontrib><creatorcontrib>John, Sonali</creatorcontrib><creatorcontrib>Li, Xingwang</creatorcontrib><creatorcontrib>Khosravi, Mohammad R.</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Central</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest Engineering Database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>Engineering collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Computational intelligence and neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Menon, Varun G.</au><au>Midhunchakkaravarthy, Divya</au><au>Sujith, Aaromal</au><au>John, Sonali</au><au>Li, Xingwang</au><au>Khosravi, Mohammad R.</au><au>Sah Tyagi, Sumarga Kumar</au><au>Sumarga Kumar Sah Tyagi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Towards Energy-Efficient and Delay-Optimized Opportunistic Routing in Underwater Acoustic Sensor Networks for IoUT Platforms: An Overview and New Suggestions</atitle><jtitle>Computational intelligence and neuroscience</jtitle><addtitle>Comput Intell Neurosci</addtitle><date>2022-03-17</date><risdate>2022</risdate><volume>2022</volume><spage>7061617</spage><epage>15</epage><pages>7061617-15</pages><issn>1687-5265</issn><eissn>1687-5273</eissn><abstract>In underwater acoustic sensor networks (UASNs), the reliable transfer of data from the source nodes located underwater to the destination nodes at the surface through the network of intermediate nodes is a significant challenge due to various unique characteristics of UASN such as continuous mobility of sensor nodes, increased propagation delay, restriction in energy, and heightened interference. Recently, the location-based opportunistic routing protocols seem to show potential by providing commendable quality of service (QoS) in the underwater environment. This study initially reviews all the latest location-based opportunistic routing protocols proposed for UASNs and discusses its possible limitations and challenges. Most of the existing works focus either on improving the QoS or on energy efficiency, and the few hybrid protocols that focus on both parameters are too complex with increased overhead and lack techniques to overcome communication voids. Further, this study proposes and discusses an easy-to-implement energy-efficient location-based opportunistic routing protocol (EELORP) that can work efficiently for various applications of UASN-assisted Internet of Underwater Things (IoUTs) platforms with reduced delay. We simulate the protocol in Aqua-Sim, and the results obtained show better performance than existing protocols in terms of QoS and energy efficiency.</abstract><cop>United States</cop><pub>Hindawi</pub><pmid>35341173</pmid><doi>10.1155/2022/7061617</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-3055-9900</orcidid><orcidid>https://orcid.org/0000-0002-2029-5067</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1687-5265
ispartof Computational intelligence and neuroscience, 2022-03, Vol.2022, p.7061617-15
issn 1687-5265
1687-5273
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8947909
source Publicly Available Content Database; Wiley Journals Open Access
subjects Acoustics
Autonomous underwater vehicles
Delay
Energy efficiency
Energy management systems
Energy use
Nodes
Ocean currents
Platforms
Propagation
Quality of service
Reviews
Routing (telecommunications)
Sensors
Underwater acoustics
Wireless networks
title Towards Energy-Efficient and Delay-Optimized Opportunistic Routing in Underwater Acoustic Sensor Networks for IoUT Platforms: An Overview and New Suggestions
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T01%3A01%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Towards%20Energy-Efficient%20and%20Delay-Optimized%20Opportunistic%20Routing%20in%20Underwater%20Acoustic%20Sensor%20Networks%20for%20IoUT%20Platforms:%20An%20Overview%20and%20New%20Suggestions&rft.jtitle=Computational%20intelligence%20and%20neuroscience&rft.au=Menon,%20Varun%20G.&rft.date=2022-03-17&rft.volume=2022&rft.spage=7061617&rft.epage=15&rft.pages=7061617-15&rft.issn=1687-5265&rft.eissn=1687-5273&rft_id=info:doi/10.1155/2022/7061617&rft_dat=%3Cgale_pubme%3EA698473644%3C/gale_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c406t-2f6281971977bb9ac332965636e3bfb675fa20b80ceb15fa868950487d3ea4ca3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2643821331&rft_id=info:pmid/35341173&rft_galeid=A698473644&rfr_iscdi=true