Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods

Ad hoc network nodes are aggregate data packet from different environment; there is multiple path communication causing the sudden energy depletion in network. This type of energy loss can lead to failure of connectivity between the two intermediate nodes. If link gets failure, then it has frequent...

Full description

Saved in:
Bibliographic Details
Published in:Wireless communications and mobile computing 2023, Vol.2023, p.1-10
Main Authors: Indira, D. N. V. S. L. S., Sobhana, M., Ram, M. Sitha, Ganiya, Rajendra Kumar, Rao, J. Nageswara, Berhanu, Afework Aemro
Format: Article
Language:English
Subjects:
Ad hoc networks
Algorithms
Communication
Computer vision
Energy consumption
Localization
Nodes
Optimization
Packet transmission
Packets (communication)
Sensors
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c2096-baabb3bb07b433f6dd4d547f6153867071d2acf04089d01a33e5f0a54609e4353
container_end_page 10
container_issue
container_start_page 1
container_title Wireless communications and mobile computing
container_volume 2023
creator Indira, D. N. V. S. L. S.
Sobhana, M.
Ram, M. Sitha
Ganiya, Rajendra Kumar
Rao, J. Nageswara
Berhanu, Afework Aemro
description Ad hoc network nodes are aggregate data packet from different environment; there is multiple path communication causing the sudden energy depletion in network. This type of energy loss can lead to failure of connectivity between the two intermediate nodes. If link gets failure, then it has frequent loss of data packets. Less energy nodes do not classify data from the network structure. It reduces packet delivery ratio and increases the energy consumption. The proposed cross-layer method for data agglomeration (CLA) is designed to organize the data packet frequently among the various communication routes; the nodes in the path can able to proceed packet organization for the support of cross-layer scheme. Magnificent path discovery algorithm is constructed to offer the better packet collection route to target node. This process uses multisource node with multiple path for packet transmission in network. It minimizes the energy consumption and increases the packet delivery ratio. The simulation parameters are delay, detection efficiency, energy consumption, network lifetime, and packet delivery ratio.
doi_str_mv 10.1155/2023/5018436
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2807763035</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2807763035</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2096-baabb3bb07b433f6dd4d547f6153867071d2acf04089d01a33e5f0a54609e4353</originalsourceid><addsrcrecordid>eNp9kD1PwzAQhi0EEqWw8QMiMULoOf5KRhTxJYo6QGG0nNqmrpo42KlQ-fUktGJkuhueu3vvQegcwzXGjE0yyMiEAc4p4QdohBmBNOdCHP71vDhGJzGuAIBAhkfoqQw-xnSqtiYks7ZztftWnfNNYn1I3l0waxNj8rKNnaljMo-u-UhKX7ebrh94c3FAn0239DqeoiOr1tGc7esYze9uX8uHdDq7fyxvpukig4KnlVJVRaoKREUJsVxrqhkVlvcZ-7QgsM7UwgKFvNCAFSGGWVCMcigMJYyM0cVubxv858bETq78JjT9SZnlIAQn8Etd7ajF8GEwVrbB1SpsJQY56JKDLrnX1eOXO3zpGq2-3P_0D1PDaNE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2807763035</pqid></control><display><type>article</type><title>Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods</title><source>Wiley Online Library Open Access</source><source>Publicly Available Content (ProQuest)</source><creator>Indira, D. N. V. S. L. S. ; Sobhana, M. ; Ram, M. Sitha ; Ganiya, Rajendra Kumar ; Rao, J. Nageswara ; Berhanu, Afework Aemro</creator><contributor>Rajakani, Kalidoss ; Kalidoss Rajakani</contributor><creatorcontrib>Indira, D. N. V. S. L. S. ; Sobhana, M. ; Ram, M. Sitha ; Ganiya, Rajendra Kumar ; Rao, J. Nageswara ; Berhanu, Afework Aemro ; Rajakani, Kalidoss ; Kalidoss Rajakani</creatorcontrib><description>Ad hoc network nodes are aggregate data packet from different environment; there is multiple path communication causing the sudden energy depletion in network. This type of energy loss can lead to failure of connectivity between the two intermediate nodes. If link gets failure, then it has frequent loss of data packets. Less energy nodes do not classify data from the network structure. It reduces packet delivery ratio and increases the energy consumption. The proposed cross-layer method for data agglomeration (CLA) is designed to organize the data packet frequently among the various communication routes; the nodes in the path can able to proceed packet organization for the support of cross-layer scheme. Magnificent path discovery algorithm is constructed to offer the better packet collection route to target node. This process uses multisource node with multiple path for packet transmission in network. It minimizes the energy consumption and increases the packet delivery ratio. The simulation parameters are delay, detection efficiency, energy consumption, network lifetime, and packet delivery ratio.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2023/5018436</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Ad hoc networks ; Algorithms ; Communication ; Computer vision ; Energy consumption ; Localization ; Nodes ; Optimization ; Packet transmission ; Packets (communication) ; Sensors</subject><ispartof>Wireless communications and mobile computing, 2023, Vol.2023, p.1-10</ispartof><rights>Copyright © 2023 D. N. V. S. L. S. Indira et al.</rights><rights>Copyright © 2023 D. N. V. S. L. S. Indira et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2096-baabb3bb07b433f6dd4d547f6153867071d2acf04089d01a33e5f0a54609e4353</cites><orcidid>0000-0001-5632-9874 ; 0000-0002-2941-5379</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2807763035/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2807763035?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,4024,25753,27923,27924,27925,37012,44590,75126</link.rule.ids></links><search><contributor>Rajakani, Kalidoss</contributor><contributor>Kalidoss Rajakani</contributor><creatorcontrib>Indira, D. N. V. S. L. S.</creatorcontrib><creatorcontrib>Sobhana, M.</creatorcontrib><creatorcontrib>Ram, M. Sitha</creatorcontrib><creatorcontrib>Ganiya, Rajendra Kumar</creatorcontrib><creatorcontrib>Rao, J. Nageswara</creatorcontrib><creatorcontrib>Berhanu, Afework Aemro</creatorcontrib><title>Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods</title><title>Wireless communications and mobile computing</title><description>Ad hoc network nodes are aggregate data packet from different environment; there is multiple path communication causing the sudden energy depletion in network. This type of energy loss can lead to failure of connectivity between the two intermediate nodes. If link gets failure, then it has frequent loss of data packets. Less energy nodes do not classify data from the network structure. It reduces packet delivery ratio and increases the energy consumption. The proposed cross-layer method for data agglomeration (CLA) is designed to organize the data packet frequently among the various communication routes; the nodes in the path can able to proceed packet organization for the support of cross-layer scheme. Magnificent path discovery algorithm is constructed to offer the better packet collection route to target node. This process uses multisource node with multiple path for packet transmission in network. It minimizes the energy consumption and increases the packet delivery ratio. The simulation parameters are delay, detection efficiency, energy consumption, network lifetime, and packet delivery ratio.</description><subject>Ad hoc networks</subject><subject>Algorithms</subject><subject>Communication</subject><subject>Computer vision</subject><subject>Energy consumption</subject><subject>Localization</subject><subject>Nodes</subject><subject>Optimization</subject><subject>Packet transmission</subject><subject>Packets (communication)</subject><subject>Sensors</subject><issn>1530-8669</issn><issn>1530-8677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9kD1PwzAQhi0EEqWw8QMiMULoOf5KRhTxJYo6QGG0nNqmrpo42KlQ-fUktGJkuhueu3vvQegcwzXGjE0yyMiEAc4p4QdohBmBNOdCHP71vDhGJzGuAIBAhkfoqQw-xnSqtiYks7ZztftWnfNNYn1I3l0waxNj8rKNnaljMo-u-UhKX7ebrh94c3FAn0239DqeoiOr1tGc7esYze9uX8uHdDq7fyxvpukig4KnlVJVRaoKREUJsVxrqhkVlvcZ-7QgsM7UwgKFvNCAFSGGWVCMcigMJYyM0cVubxv858bETq78JjT9SZnlIAQn8Etd7ajF8GEwVrbB1SpsJQY56JKDLrnX1eOXO3zpGq2-3P_0D1PDaNE</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Indira, D. N. V. S. L. S.</creator><creator>Sobhana, M.</creator><creator>Ram, M. Sitha</creator><creator>Ganiya, Rajendra Kumar</creator><creator>Rao, J. Nageswara</creator><creator>Berhanu, Afework Aemro</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-5632-9874</orcidid><orcidid>https://orcid.org/0000-0002-2941-5379</orcidid></search><sort><creationdate>2023</creationdate><title>Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods</title><author>Indira, D. N. V. S. L. S. ; Sobhana, M. ; Ram, M. Sitha ; Ganiya, Rajendra Kumar ; Rao, J. Nageswara ; Berhanu, Afework Aemro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2096-baabb3bb07b433f6dd4d547f6153867071d2acf04089d01a33e5f0a54609e4353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Ad hoc networks</topic><topic>Algorithms</topic><topic>Communication</topic><topic>Computer vision</topic><topic>Energy consumption</topic><topic>Localization</topic><topic>Nodes</topic><topic>Optimization</topic><topic>Packet transmission</topic><topic>Packets (communication)</topic><topic>Sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Indira, D. N. V. S. L. S.</creatorcontrib><creatorcontrib>Sobhana, M.</creatorcontrib><creatorcontrib>Ram, M. Sitha</creatorcontrib><creatorcontrib>Ganiya, Rajendra Kumar</creatorcontrib><creatorcontrib>Rao, J. Nageswara</creatorcontrib><creatorcontrib>Berhanu, Afework Aemro</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content (ProQuest)</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 Central Basic</collection><jtitle>Wireless communications and mobile computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Indira, D. N. V. S. L. S.</au><au>Sobhana, M.</au><au>Ram, M. Sitha</au><au>Ganiya, Rajendra Kumar</au><au>Rao, J. Nageswara</au><au>Berhanu, Afework Aemro</au><au>Rajakani, Kalidoss</au><au>Kalidoss Rajakani</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods</atitle><jtitle>Wireless communications and mobile computing</jtitle><date>2023</date><risdate>2023</risdate><volume>2023</volume><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1530-8669</issn><eissn>1530-8677</eissn><abstract>Ad hoc network nodes are aggregate data packet from different environment; there is multiple path communication causing the sudden energy depletion in network. This type of energy loss can lead to failure of connectivity between the two intermediate nodes. If link gets failure, then it has frequent loss of data packets. Less energy nodes do not classify data from the network structure. It reduces packet delivery ratio and increases the energy consumption. The proposed cross-layer method for data agglomeration (CLA) is designed to organize the data packet frequently among the various communication routes; the nodes in the path can able to proceed packet organization for the support of cross-layer scheme. Magnificent path discovery algorithm is constructed to offer the better packet collection route to target node. This process uses multisource node with multiple path for packet transmission in network. It minimizes the energy consumption and increases the packet delivery ratio. The simulation parameters are delay, detection efficiency, energy consumption, network lifetime, and packet delivery ratio.</abstract><cop>Oxford</cop><pub>Hindawi</pub><doi>10.1155/2023/5018436</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-5632-9874</orcidid><orcidid>https://orcid.org/0000-0002-2941-5379</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1530-8669
ispartof Wireless communications and mobile computing, 2023, Vol.2023, p.1-10
issn 1530-8669
1530-8677
language eng
recordid cdi_proquest_journals_2807763035
source Wiley Online Library Open Access; Publicly Available Content (ProQuest)
subjects Ad hoc networks
Algorithms
Communication
Computer vision
Energy consumption
Localization
Nodes
Optimization
Packet transmission
Packets (communication)
Sensors
title Cross-Layer Optimization for Wireless Systems Using Computer Vision Methods
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T00%3A10%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cross-Layer%20Optimization%20for%20Wireless%20Systems%20Using%20Computer%20Vision%20Methods&rft.jtitle=Wireless%20communications%20and%20mobile%20computing&rft.au=Indira,%20D.%20N.%20V.%20S.%20L.%20S.&rft.date=2023&rft.volume=2023&rft.spage=1&rft.epage=10&rft.pages=1-10&rft.issn=1530-8669&rft.eissn=1530-8677&rft_id=info:doi/10.1155/2023/5018436&rft_dat=%3Cproquest_cross%3E2807763035%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2096-baabb3bb07b433f6dd4d547f6153867071d2acf04089d01a33e5f0a54609e4353%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2807763035&rft_id=info:pmid/&rfr_iscdi=true