Development of Enhanced Chimp Optimization Algorithm (OFCOA) in Cognitive Radio Networks for Energy Management and Resource Allocation
Transmit time and power optimisation increase secondary network energy efficiency (EE). The optimum resource allocation strategy in cognitive radio networks is the enhanced chimp optimisation algorithm (OFCOA) since the EE maximising problem is a nonlinear fractional programming problem. To control...
Gespeichert in:
| Veröffentlicht in: | International journal of software science and computational intelligence 2024-01, Vol.15 (1), p.1-20 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 20 |
|---|---|
| container_issue | 1 |
| container_start_page | 1 |
| container_title | International journal of software science and computational intelligence |
| container_volume | 15 |
| creator | Chui, Kwok Tai Saini, Dilip Kumar Jang Bahadur Mishra, Anupama Siddharth, Dhirendra Joshi, Pooja Bansal, Ritika Bansal, Shavi |
| description | Transmit time and power optimisation increase secondary network energy efficiency (EE). The optimum resource allocation strategy in cognitive radio networks is the enhanced chimp optimisation algorithm (OFCOA) since the EE maximising problem is a nonlinear fractional programming problem. To control resources and energy, this research offers an energy-efficient CRN opposition function-based chimpanzee optimisation algorithm (OFCOA) solution. Combining the opposition function (OF) with the chimpanzee optimisation technique is recommended. OF in COAs improves decision-making. Spectrum measurements in energy management provide energy-efficient CRN operation. The suggested technique was evaluated using channel occupancy, CRN data, and four major and secondary user scenarios. CPU power, network life, transmission rate, latency, flush, power consumption, and overhead are utilized to evaluate the proposed approach in MATLAB. The proposed method is compared to existing approaches like Particle Swarm Optimisation (PSO), Chimpanzee Optimisation Algorithm (COA), and Whale Optimisation Algorithm. |
| doi_str_mv | 10.4018/IJSSCI.335898 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_4018_IJSSCI_335898</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2921980794</sourcerecordid><originalsourceid>FETCH-LOGICAL-c251t-fad1e30ce7da0e688292e59bda61e2415ee3ae58f7d73a0264b4beab643fbab83</originalsourceid><addsrcrecordid>eNptkD1PwzAQhi0EEqUwsltigSHFjvM5VmkLRYVILcyWk1xSl8YOTlpUfgC_m9AUWJjuhlfPe_cgdEnJwCE0uJ0-LBbRdMCYG4TBEerR0LGtkDD_-Hd33FN0VtcrQjyHUdpDnyPYwlpXJagG6xyP1VKoFDIcLWVZ4bhqZCk_RCO1wsN1oY1sliW-jidRPLzBUuFIF0o2cgt4LjKp8RM079q81jjXpqWBKXb4UShRwL5CqAzPodYbk0ILXOt0zz5HJ7lY13BxmH30Mhk_R_fWLL6bRsOZldoubaxcZBQYScHPBAEvCOzQBjdMMuFRsB3qAjABbpD7mc8EsT0ncRIQSftsnogkYH101XEro982UDd81Z6i2kreomgYED902pTVpVKj69pAzisjS2F2nBL-rZp3qnmnus2Purws5B_wYJXrnP9Y5Xur_0Koy74A20SKyQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2921980794</pqid></control><display><type>article</type><title>Development of Enhanced Chimp Optimization Algorithm (OFCOA) in Cognitive Radio Networks for Energy Management and Resource Allocation</title><source>Alma/SFX Local Collection</source><source>ProQuest Central</source><creator>Chui, Kwok Tai ; Saini, Dilip Kumar Jang Bahadur ; Mishra, Anupama ; Siddharth, Dhirendra ; Joshi, Pooja ; Bansal, Ritika ; Bansal, Shavi</creator><creatorcontrib>Chui, Kwok Tai ; Saini, Dilip Kumar Jang Bahadur ; Mishra, Anupama ; Siddharth, Dhirendra ; Joshi, Pooja ; Bansal, Ritika ; Bansal, Shavi</creatorcontrib><description>Transmit time and power optimisation increase secondary network energy efficiency (EE). The optimum resource allocation strategy in cognitive radio networks is the enhanced chimp optimisation algorithm (OFCOA) since the EE maximising problem is a nonlinear fractional programming problem. To control resources and energy, this research offers an energy-efficient CRN opposition function-based chimpanzee optimisation algorithm (OFCOA) solution. Combining the opposition function (OF) with the chimpanzee optimisation technique is recommended. OF in COAs improves decision-making. Spectrum measurements in energy management provide energy-efficient CRN operation. The suggested technique was evaluated using channel occupancy, CRN data, and four major and secondary user scenarios. CPU power, network life, transmission rate, latency, flush, power consumption, and overhead are utilized to evaluate the proposed approach in MATLAB. The proposed method is compared to existing approaches like Particle Swarm Optimisation (PSO), Chimpanzee Optimisation Algorithm (COA), and Whale Optimisation Algorithm.</description><identifier>ISSN: 1942-9045</identifier><identifier>EISSN: 1942-9037</identifier><identifier>DOI: 10.4018/IJSSCI.335898</identifier><language>eng</language><publisher>Hershey: IGI Global</publisher><subject>Algorithms ; Chimpanzees ; Cognitive radio ; Communication ; Communications networks ; Data transmission ; Energy efficiency ; Energy management ; Mathematical programming ; Measurement techniques ; Monkeys & apes ; Network latency ; Optimization algorithms ; Particle swarm optimization ; Power consumption ; Radio networks ; Resource allocation ; Sensors ; Software ; Telecommunications systems</subject><ispartof>International journal of software science and computational intelligence, 2024-01, Vol.15 (1), p.1-20</ispartof><rights>2023. This work is published under https://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-c251t-fad1e30ce7da0e688292e59bda61e2415ee3ae58f7d73a0264b4beab643fbab83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2921980794?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21386,27922,27923,33742,43803,64383,64387,72239</link.rule.ids></links><search><creatorcontrib>Chui, Kwok Tai</creatorcontrib><creatorcontrib>Saini, Dilip Kumar Jang Bahadur</creatorcontrib><creatorcontrib>Mishra, Anupama</creatorcontrib><creatorcontrib>Siddharth, Dhirendra</creatorcontrib><creatorcontrib>Joshi, Pooja</creatorcontrib><creatorcontrib>Bansal, Ritika</creatorcontrib><creatorcontrib>Bansal, Shavi</creatorcontrib><title>Development of Enhanced Chimp Optimization Algorithm (OFCOA) in Cognitive Radio Networks for Energy Management and Resource Allocation</title><title>International journal of software science and computational intelligence</title><description>Transmit time and power optimisation increase secondary network energy efficiency (EE). The optimum resource allocation strategy in cognitive radio networks is the enhanced chimp optimisation algorithm (OFCOA) since the EE maximising problem is a nonlinear fractional programming problem. To control resources and energy, this research offers an energy-efficient CRN opposition function-based chimpanzee optimisation algorithm (OFCOA) solution. Combining the opposition function (OF) with the chimpanzee optimisation technique is recommended. OF in COAs improves decision-making. Spectrum measurements in energy management provide energy-efficient CRN operation. The suggested technique was evaluated using channel occupancy, CRN data, and four major and secondary user scenarios. CPU power, network life, transmission rate, latency, flush, power consumption, and overhead are utilized to evaluate the proposed approach in MATLAB. The proposed method is compared to existing approaches like Particle Swarm Optimisation (PSO), Chimpanzee Optimisation Algorithm (COA), and Whale Optimisation Algorithm.</description><subject>Algorithms</subject><subject>Chimpanzees</subject><subject>Cognitive radio</subject><subject>Communication</subject><subject>Communications networks</subject><subject>Data transmission</subject><subject>Energy efficiency</subject><subject>Energy management</subject><subject>Mathematical programming</subject><subject>Measurement techniques</subject><subject>Monkeys & apes</subject><subject>Network latency</subject><subject>Optimization algorithms</subject><subject>Particle swarm optimization</subject><subject>Power consumption</subject><subject>Radio networks</subject><subject>Resource allocation</subject><subject>Sensors</subject><subject>Software</subject><subject>Telecommunications systems</subject><issn>1942-9045</issn><issn>1942-9037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptkD1PwzAQhi0EEqUwsltigSHFjvM5VmkLRYVILcyWk1xSl8YOTlpUfgC_m9AUWJjuhlfPe_cgdEnJwCE0uJ0-LBbRdMCYG4TBEerR0LGtkDD_-Hd33FN0VtcrQjyHUdpDnyPYwlpXJagG6xyP1VKoFDIcLWVZ4bhqZCk_RCO1wsN1oY1sliW-jidRPLzBUuFIF0o2cgt4LjKp8RM079q81jjXpqWBKXb4UShRwL5CqAzPodYbk0ILXOt0zz5HJ7lY13BxmH30Mhk_R_fWLL6bRsOZldoubaxcZBQYScHPBAEvCOzQBjdMMuFRsB3qAjABbpD7mc8EsT0ncRIQSftsnogkYH101XEro982UDd81Z6i2kreomgYED902pTVpVKj69pAzisjS2F2nBL-rZp3qnmnus2Purws5B_wYJXrnP9Y5Xur_0Koy74A20SKyQ</recordid><startdate>20240110</startdate><enddate>20240110</enddate><creator>Chui, Kwok Tai</creator><creator>Saini, Dilip Kumar Jang Bahadur</creator><creator>Mishra, Anupama</creator><creator>Siddharth, Dhirendra</creator><creator>Joshi, Pooja</creator><creator>Bansal, Ritika</creator><creator>Bansal, Shavi</creator><general>IGI Global</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</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>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20240110</creationdate><title>Development of Enhanced Chimp Optimization Algorithm (OFCOA) in Cognitive Radio Networks for Energy Management and Resource Allocation</title><author>Chui, Kwok Tai ; Saini, Dilip Kumar Jang Bahadur ; Mishra, Anupama ; Siddharth, Dhirendra ; Joshi, Pooja ; Bansal, Ritika ; Bansal, Shavi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c251t-fad1e30ce7da0e688292e59bda61e2415ee3ae58f7d73a0264b4beab643fbab83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Chimpanzees</topic><topic>Cognitive radio</topic><topic>Communication</topic><topic>Communications networks</topic><topic>Data transmission</topic><topic>Energy efficiency</topic><topic>Energy management</topic><topic>Mathematical programming</topic><topic>Measurement techniques</topic><topic>Monkeys & apes</topic><topic>Network latency</topic><topic>Optimization algorithms</topic><topic>Particle swarm optimization</topic><topic>Power consumption</topic><topic>Radio networks</topic><topic>Resource allocation</topic><topic>Sensors</topic><topic>Software</topic><topic>Telecommunications systems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chui, Kwok Tai</creatorcontrib><creatorcontrib>Saini, Dilip Kumar Jang Bahadur</creatorcontrib><creatorcontrib>Mishra, Anupama</creatorcontrib><creatorcontrib>Siddharth, Dhirendra</creatorcontrib><creatorcontrib>Joshi, Pooja</creatorcontrib><creatorcontrib>Bansal, Ritika</creatorcontrib><creatorcontrib>Bansal, Shavi</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & 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>ProQuest Advanced Technologies & Aerospace Collection</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><jtitle>International journal of software science and computational intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chui, Kwok Tai</au><au>Saini, Dilip Kumar Jang Bahadur</au><au>Mishra, Anupama</au><au>Siddharth, Dhirendra</au><au>Joshi, Pooja</au><au>Bansal, Ritika</au><au>Bansal, Shavi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of Enhanced Chimp Optimization Algorithm (OFCOA) in Cognitive Radio Networks for Energy Management and Resource Allocation</atitle><jtitle>International journal of software science and computational intelligence</jtitle><date>2024-01-10</date><risdate>2024</risdate><volume>15</volume><issue>1</issue><spage>1</spage><epage>20</epage><pages>1-20</pages><issn>1942-9045</issn><eissn>1942-9037</eissn><abstract>Transmit time and power optimisation increase secondary network energy efficiency (EE). The optimum resource allocation strategy in cognitive radio networks is the enhanced chimp optimisation algorithm (OFCOA) since the EE maximising problem is a nonlinear fractional programming problem. To control resources and energy, this research offers an energy-efficient CRN opposition function-based chimpanzee optimisation algorithm (OFCOA) solution. Combining the opposition function (OF) with the chimpanzee optimisation technique is recommended. OF in COAs improves decision-making. Spectrum measurements in energy management provide energy-efficient CRN operation. The suggested technique was evaluated using channel occupancy, CRN data, and four major and secondary user scenarios. CPU power, network life, transmission rate, latency, flush, power consumption, and overhead are utilized to evaluate the proposed approach in MATLAB. The proposed method is compared to existing approaches like Particle Swarm Optimisation (PSO), Chimpanzee Optimisation Algorithm (COA), and Whale Optimisation Algorithm.</abstract><cop>Hershey</cop><pub>IGI Global</pub><doi>10.4018/IJSSCI.335898</doi><tpages>20</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1942-9045 |
| ispartof | International journal of software science and computational intelligence, 2024-01, Vol.15 (1), p.1-20 |
| issn | 1942-9045 1942-9037 |
| language | eng |
| recordid | cdi_crossref_primary_10_4018_IJSSCI_335898 |
| source | Alma/SFX Local Collection; ProQuest Central |
| subjects | Algorithms Chimpanzees Cognitive radio Communication Communications networks Data transmission Energy efficiency Energy management Mathematical programming Measurement techniques Monkeys & apes Network latency Optimization algorithms Particle swarm optimization Power consumption Radio networks Resource allocation Sensors Software Telecommunications systems |
| title | Development of Enhanced Chimp Optimization Algorithm (OFCOA) in Cognitive Radio Networks for Energy Management and Resource Allocation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T17%3A11%3A16IST&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=Development%20of%20Enhanced%20Chimp%20Optimization%20Algorithm%20(OFCOA)%20in%20Cognitive%20Radio%20Networks%20for%20Energy%20Management%20and%20Resource%20Allocation&rft.jtitle=International%20journal%20of%20software%20science%20and%20computational%20intelligence&rft.au=Chui,%20Kwok%20Tai&rft.date=2024-01-10&rft.volume=15&rft.issue=1&rft.spage=1&rft.epage=20&rft.pages=1-20&rft.issn=1942-9045&rft.eissn=1942-9037&rft_id=info:doi/10.4018/IJSSCI.335898&rft_dat=%3Cproquest_cross%3E2921980794%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=2921980794&rft_id=info:pmid/&rfr_iscdi=true |