Lifetime Maximization Using Grey Wolf Optimization Routing Protocol with statistical Technique in WSNs

The main challenge in Wireless Sensor Networks (WSNs) is to maximize the lifespan of sensor nodes powered by low-cost batteries with limited power. Energy conservation is crucial, and routing mechanisms play a vital role in preserving energy. Energy-efficient routing methods can save battery power a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Informatica (Ljubljana) 2023, Vol.47 (5), p.75-81
Hauptverfasser: Khudor, Baida'a Abdul Qader, Hussein, Dheyaa Mezaal, Kheerallah, Yousif Abdulwahab, Alkenani, Jawad, Alshawi, Imad S.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 81
container_issue 5
container_start_page 75
container_title Informatica (Ljubljana)
container_volume 47
creator Khudor, Baida'a Abdul Qader
Hussein, Dheyaa Mezaal
Kheerallah, Yousif Abdulwahab
Alkenani, Jawad
Alshawi, Imad S.
description The main challenge in Wireless Sensor Networks (WSNs) is to maximize the lifespan of sensor nodes powered by low-cost batteries with limited power. Energy conservation is crucial, and routing mechanisms play a vital role in preserving energy. Energy-efficient routing methods can save battery power and extend the network's lifespan. This study introduces the Grey Wolf Optimization Routing Protocol (GWORP), enhanced with a novel routing mechanism that detects the statistically optimal path. It enables the discovery and reuse of an ideal route from the source to the destination, ensuring balanced energy consumption across WSN nodes and reducing path discovery time. GWORP outperforms the PSORP (Particle Swarm Optimization Routing Protocol) algorithm, significantly reducing energy usage and minimizing end-to-end latency. The findings suggest that GWORP could potentially increase the network lifespan by approximately 73% compared to PSORP.
doi_str_mv 10.31449/inf.v47i5.4601
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2827028665</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2827028665</sourcerecordid><originalsourceid>FETCH-LOGICAL-c184t-80c0a14c510fe7c64f2c737721e56b5a86bf6ef054597ee06fa15aadf153c32a3</originalsourceid><addsrcrecordid>eNpFkE1PAjEARBujiYievTbxvNDvlqMhiiYoRiEcm1JbKVm22BYVf70rmHiaw5vMJA-AS4x6FDM26IfG9z6YDLzHBMJHoIMVZxVVEh-DDqIcVZwPxCk4y3mFEKNYkQ7w4-BdCWsHH8xXWIdvU0Js4CyH5g2OktvBeaw9nGzKP3yO2_KLn1Is0cYafoayhLm0NJdgTQ2nzi6b8L51MDRw_vKYz8GJN3V2F3_ZBbPbm-nwrhpPRvfD63FlsWKlUsgig5nlGHknrWCeWEmlJNhxseBGiYUXziPO-EA6h4Q3mBvz6jGnlhJDu-DqsLtJsb3PRa_iNjXtpSaKSESUELxt9Q8tm2LOyXm9SWFt0k5jpPcydStT72XqX5n0B6lLai8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2827028665</pqid></control><display><type>article</type><title>Lifetime Maximization Using Grey Wolf Optimization Routing Protocol with statistical Technique in WSNs</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Khudor, Baida'a Abdul Qader ; Hussein, Dheyaa Mezaal ; Kheerallah, Yousif Abdulwahab ; Alkenani, Jawad ; Alshawi, Imad S.</creator><creatorcontrib>Khudor, Baida'a Abdul Qader ; Hussein, Dheyaa Mezaal ; Kheerallah, Yousif Abdulwahab ; Alkenani, Jawad ; Alshawi, Imad S.</creatorcontrib><description>The main challenge in Wireless Sensor Networks (WSNs) is to maximize the lifespan of sensor nodes powered by low-cost batteries with limited power. Energy conservation is crucial, and routing mechanisms play a vital role in preserving energy. Energy-efficient routing methods can save battery power and extend the network's lifespan. This study introduces the Grey Wolf Optimization Routing Protocol (GWORP), enhanced with a novel routing mechanism that detects the statistically optimal path. It enables the discovery and reuse of an ideal route from the source to the destination, ensuring balanced energy consumption across WSN nodes and reducing path discovery time. GWORP outperforms the PSORP (Particle Swarm Optimization Routing Protocol) algorithm, significantly reducing energy usage and minimizing end-to-end latency. The findings suggest that GWORP could potentially increase the network lifespan by approximately 73% compared to PSORP.</description><identifier>ISSN: 0350-5596</identifier><identifier>EISSN: 1854-3871</identifier><identifier>DOI: 10.31449/inf.v47i5.4601</identifier><language>eng</language><publisher>Ljubljana: Slovenian Society Informatika / Slovensko drustvo Informatika</publisher><subject>Algorithms ; Communication ; Computer networks ; Data transmission ; Energy conservation ; Energy consumption ; Heuristic ; Internet of Things ; Life span ; Linear programming ; Network latency ; Nodes ; Optimization techniques ; Particle swarm optimization ; Power management ; Protocol ; Quality of service ; Routing (telecommunications) ; Sensors ; Wireless sensor networks</subject><ispartof>Informatica (Ljubljana), 2023, Vol.47 (5), p.75-81</ispartof><rights>2023. This work is published under https://creativecommons.org/licenses/by/3.0/ (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><citedby>FETCH-LOGICAL-c184t-80c0a14c510fe7c64f2c737721e56b5a86bf6ef054597ee06fa15aadf153c32a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27902,27903,27904</link.rule.ids></links><search><creatorcontrib>Khudor, Baida'a Abdul Qader</creatorcontrib><creatorcontrib>Hussein, Dheyaa Mezaal</creatorcontrib><creatorcontrib>Kheerallah, Yousif Abdulwahab</creatorcontrib><creatorcontrib>Alkenani, Jawad</creatorcontrib><creatorcontrib>Alshawi, Imad S.</creatorcontrib><title>Lifetime Maximization Using Grey Wolf Optimization Routing Protocol with statistical Technique in WSNs</title><title>Informatica (Ljubljana)</title><description>The main challenge in Wireless Sensor Networks (WSNs) is to maximize the lifespan of sensor nodes powered by low-cost batteries with limited power. Energy conservation is crucial, and routing mechanisms play a vital role in preserving energy. Energy-efficient routing methods can save battery power and extend the network's lifespan. This study introduces the Grey Wolf Optimization Routing Protocol (GWORP), enhanced with a novel routing mechanism that detects the statistically optimal path. It enables the discovery and reuse of an ideal route from the source to the destination, ensuring balanced energy consumption across WSN nodes and reducing path discovery time. GWORP outperforms the PSORP (Particle Swarm Optimization Routing Protocol) algorithm, significantly reducing energy usage and minimizing end-to-end latency. The findings suggest that GWORP could potentially increase the network lifespan by approximately 73% compared to PSORP.</description><subject>Algorithms</subject><subject>Communication</subject><subject>Computer networks</subject><subject>Data transmission</subject><subject>Energy conservation</subject><subject>Energy consumption</subject><subject>Heuristic</subject><subject>Internet of Things</subject><subject>Life span</subject><subject>Linear programming</subject><subject>Network latency</subject><subject>Nodes</subject><subject>Optimization techniques</subject><subject>Particle swarm optimization</subject><subject>Power management</subject><subject>Protocol</subject><subject>Quality of service</subject><subject>Routing (telecommunications)</subject><subject>Sensors</subject><subject>Wireless sensor networks</subject><issn>0350-5596</issn><issn>1854-3871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpFkE1PAjEARBujiYievTbxvNDvlqMhiiYoRiEcm1JbKVm22BYVf70rmHiaw5vMJA-AS4x6FDM26IfG9z6YDLzHBMJHoIMVZxVVEh-DDqIcVZwPxCk4y3mFEKNYkQ7w4-BdCWsHH8xXWIdvU0Js4CyH5g2OktvBeaw9nGzKP3yO2_KLn1Is0cYafoayhLm0NJdgTQ2nzi6b8L51MDRw_vKYz8GJN3V2F3_ZBbPbm-nwrhpPRvfD63FlsWKlUsgig5nlGHknrWCeWEmlJNhxseBGiYUXziPO-EA6h4Q3mBvz6jGnlhJDu-DqsLtJsb3PRa_iNjXtpSaKSESUELxt9Q8tm2LOyXm9SWFt0k5jpPcydStT72XqX5n0B6lLai8</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Khudor, Baida'a Abdul Qader</creator><creator>Hussein, Dheyaa Mezaal</creator><creator>Kheerallah, Yousif Abdulwahab</creator><creator>Alkenani, Jawad</creator><creator>Alshawi, Imad S.</creator><general>Slovenian Society Informatika / Slovensko drustvo Informatika</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BYOGL</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></search><sort><creationdate>2023</creationdate><title>Lifetime Maximization Using Grey Wolf Optimization Routing Protocol with statistical Technique in WSNs</title><author>Khudor, Baida'a Abdul Qader ; Hussein, Dheyaa Mezaal ; Kheerallah, Yousif Abdulwahab ; Alkenani, Jawad ; Alshawi, Imad S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c184t-80c0a14c510fe7c64f2c737721e56b5a86bf6ef054597ee06fa15aadf153c32a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Communication</topic><topic>Computer networks</topic><topic>Data transmission</topic><topic>Energy conservation</topic><topic>Energy consumption</topic><topic>Heuristic</topic><topic>Internet of Things</topic><topic>Life span</topic><topic>Linear programming</topic><topic>Network latency</topic><topic>Nodes</topic><topic>Optimization techniques</topic><topic>Particle swarm optimization</topic><topic>Power management</topic><topic>Protocol</topic><topic>Quality of service</topic><topic>Routing (telecommunications)</topic><topic>Sensors</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Khudor, Baida'a Abdul Qader</creatorcontrib><creatorcontrib>Hussein, Dheyaa Mezaal</creatorcontrib><creatorcontrib>Kheerallah, Yousif Abdulwahab</creatorcontrib><creatorcontrib>Alkenani, Jawad</creatorcontrib><creatorcontrib>Alshawi, Imad S.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>East Europe, Central Europe Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</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>Advanced Technologies &amp; Aerospace Database</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 Central Basic</collection><jtitle>Informatica (Ljubljana)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khudor, Baida'a Abdul Qader</au><au>Hussein, Dheyaa Mezaal</au><au>Kheerallah, Yousif Abdulwahab</au><au>Alkenani, Jawad</au><au>Alshawi, Imad S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lifetime Maximization Using Grey Wolf Optimization Routing Protocol with statistical Technique in WSNs</atitle><jtitle>Informatica (Ljubljana)</jtitle><date>2023</date><risdate>2023</risdate><volume>47</volume><issue>5</issue><spage>75</spage><epage>81</epage><pages>75-81</pages><issn>0350-5596</issn><eissn>1854-3871</eissn><abstract>The main challenge in Wireless Sensor Networks (WSNs) is to maximize the lifespan of sensor nodes powered by low-cost batteries with limited power. Energy conservation is crucial, and routing mechanisms play a vital role in preserving energy. Energy-efficient routing methods can save battery power and extend the network's lifespan. This study introduces the Grey Wolf Optimization Routing Protocol (GWORP), enhanced with a novel routing mechanism that detects the statistically optimal path. It enables the discovery and reuse of an ideal route from the source to the destination, ensuring balanced energy consumption across WSN nodes and reducing path discovery time. GWORP outperforms the PSORP (Particle Swarm Optimization Routing Protocol) algorithm, significantly reducing energy usage and minimizing end-to-end latency. The findings suggest that GWORP could potentially increase the network lifespan by approximately 73% compared to PSORP.</abstract><cop>Ljubljana</cop><pub>Slovenian Society Informatika / Slovensko drustvo Informatika</pub><doi>10.31449/inf.v47i5.4601</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0350-5596
ispartof Informatica (Ljubljana), 2023, Vol.47 (5), p.75-81
issn 0350-5596
1854-3871
language eng
recordid cdi_proquest_journals_2827028665
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Algorithms
Communication
Computer networks
Data transmission
Energy conservation
Energy consumption
Heuristic
Internet of Things
Life span
Linear programming
Network latency
Nodes
Optimization techniques
Particle swarm optimization
Power management
Protocol
Quality of service
Routing (telecommunications)
Sensors
Wireless sensor networks
title Lifetime Maximization Using Grey Wolf Optimization Routing Protocol with statistical Technique in WSNs
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T08%3A29%3A39IST&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=Lifetime%20Maximization%20Using%20Grey%20Wolf%20Optimization%20Routing%20Protocol%20with%20statistical%20Technique%20in%20WSNs&rft.jtitle=Informatica%20(Ljubljana)&rft.au=Khudor,%20Baida'a%20Abdul%20Qader&rft.date=2023&rft.volume=47&rft.issue=5&rft.spage=75&rft.epage=81&rft.pages=75-81&rft.issn=0350-5596&rft.eissn=1854-3871&rft_id=info:doi/10.31449/inf.v47i5.4601&rft_dat=%3Cproquest_cross%3E2827028665%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2827028665&rft_id=info:pmid/&rfr_iscdi=true