{"id":"https://openalex.org/W7166975729","doi":null,"title":"AI-enhanced traffic prediction for energy-efficient traffic engineering in hybrid SDNs","display_name":"AI-enhanced traffic prediction for energy-efficient traffic engineering in hybrid SDNs","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W7166975729"},"language":"en","primary_location":{"id":"pmh:oai:shdl.mmu.edu.my:14506","doi":null,"is_oa":false,"landing_page_url":"https://shdl.mmu.edu.my/14506/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196753","display_name":"Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173029219","host_organization_name":"Multimedia University","host_organization_lineage":["https://openalex.org/I173029219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055700524","display_name":"Richard Etengu","orcid":"https://orcid.org/0000-0002-7312-5678","observed_orcids":["https://orcid.org/0000-0002-7312-5678"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Richard, Etengu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5055700524"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9247999787330627,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9247999787330627,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.033799998462200165,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10847","display_name":"Advanced Optical Network Technologies","score":0.028999999165534973,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-forecasting","display_name":"traffic prediction","score":0.8889999985694885},{"id":"https://openalex.org/keywords/energy-efficient-routing","display_name":"energy-efficient routing","score":0.8299999833106995},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.7559999823570251},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.75},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.8080000281333923},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.8009999990463257},{"id":"https://openalex.org/keywords/network-energy-consumption","display_name":"network energy consumption","score":0.8930000066757202},{"id":"https://openalex.org/keywords/traffic-engineering","display_name":"traffic engineering","score":0.5400000214576721},{"id":"https://openalex.org/keywords/mininet-emulation","display_name":"Mininet emulation","score":0.48100000619888306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5949000120162964},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C16160715","wikidata":"https://www.wikidata.org/wiki/Q1640676","display_name":"Traffic engineering","level":2,"score":0.43369999527931213},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4138000011444092},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3538999855518341},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.3504999876022339},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30979999899864197},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.3043999969959259},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2888000011444092},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2865999937057495},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.2777999937534332},{"id":"https://openalex.org/C63969886","wikidata":"https://www.wikidata.org/wiki/Q3536440","display_name":"Internet traffic","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.2754000127315521},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C114563136","wikidata":"https://www.wikidata.org/wiki/Q19725982","display_name":"Network planning and design","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C89305328","wikidata":"https://www.wikidata.org/wiki/Q1755411","display_name":"Link-state routing protocol","level":4,"score":0.2515000104904175},{"id":"https://openalex.org/C2986707884","wikidata":"https://www.wikidata.org/wiki/Q11371","display_name":"Internet service provider","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:shdl.mmu.edu.my:14506","doi":null,"is_oa":false,"landing_page_url":"https://shdl.mmu.edu.my/14506/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196753","display_name":"Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I173029219","host_organization_name":"Multimedia University","host_organization_lineage":["https://openalex.org/I173029219"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":1.0,"id":"https://metadata.un.org/sdg/9"},{"display_name":"Affordable and clean energy","score":0.5690000057220459,"id":"https://metadata.un.org/sdg/7"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3085805753","https://openalex.org/W4324387263","https://openalex.org/W3046429719","https://openalex.org/W4414812797","https://openalex.org/W2963883527","https://openalex.org/W2973858527","https://openalex.org/W4281679789","https://openalex.org/W7220847547","https://openalex.org/W7128707168","https://openalex.org/W7214064331"],"abstract_inverted_index":{"Recently,":[0],"the":[1,10,52,68,97,204,229,243,273],"rapid":[2,163],"growth":[3,54],"in":[4,16,55,113,139,188,301],"data":[5,134],"traffic":[6,56,88,135,186,264,285],"volumes":[7],"has":[8],"overstretched":[9],"capacity":[11,28],"of":[12,67,71,100,167,313],"existing":[13],"core":[14],"infrastructure":[15],"modern":[17],"communication":[18],"networks,":[19],"compromising":[20],"network":[21,42,254],"management":[22,312],"and":[23,76,127,137,164,199,218,235,242,266,298,303,311,315],"control":[24],"to":[25,49,95,214,249,262,278],"deliver":[26],"high":[27],"multimedia":[29],"services.":[30],"Hybrid":[31],"softwaredefined":[32],"networking/open":[33],"shortest":[34],"path":[35],"first":[36],"(SDN/OSPF)":[37],"networks":[38,73,192],"represent":[39],"a":[40,128,149,155,178,200,290],"transitory":[41],"architecture":[43],"for":[44,133,238,253,308],"large-sized":[45],"Internet":[46],"service":[47],"providers":[48],"cope":[50],"with":[51],"explosive":[53],"volumes.":[57],"Apart":[58],"from":[59,74],"quality-of-service":[60],"assurance,":[61],"improving":[62],"energy":[63,98,255],"efficiency":[64,99],"is":[65,146,233,247,260,276],"one":[66],"key":[69],"goals":[70],"SDN/OSPF":[72,141,191],"environmental":[75],"economic":[77],"perspectives.":[78],"To":[79,161],"date,":[80],"various":[81,171],"adaptive":[82],"link":[83],"rate":[84],"energy-aware":[85],"routing":[86,169,239],"(ALREAR)":[87],"engineering":[89],"(TE)":[90],"methods":[91,106],"have":[92],"been":[93],"investigated":[94],"improve":[96],"such":[101],"hybrid":[102,140,190],"networks.":[103,142,318],"However,":[104],"these":[105],"are":[107,173],"either":[108],"traffic-unaware":[109],"or":[110],"slow,":[111],"resulting":[112],"underperformance.":[114],"This":[115],"study":[116],"investigates":[117],"an":[118],"intelligent":[119,165,224],"optimisation":[120],"framework":[121,183],"that":[122,184],"uses":[123],"deep":[124,181],"learning":[125,182],"(DL)":[126],"bio-inspired":[129,151],"genetic":[130],"algorithm":[131],"(GA)":[132],"prediction":[136,187,231,286],"ALR-EAR":[138,144],"The":[143,257,283],"problem":[145],"solved":[147],"using":[148,289],"metaheuristic-based":[150],"GA,":[152],"formulated":[153],"as":[154],"multiobjective":[156],"integer":[157],"linear":[158],"programming":[159],"(MOILP).":[160],"guarantee":[162],"generation":[166],"energy-efficient":[168,281],"decisions,":[170],"tasks":[172],"performed.":[174],"First,":[175],"we":[176],"develop":[177],"novel":[179],"supervised":[180],"enhances":[185],"transitional":[189],"by":[193],"combining":[194],"multiple":[195],"dimensionality":[196],"reduction":[197],"techniques":[198],"multi-objective":[201],"GA.":[202],"Second,":[203],"proposed":[205],"ML-ALR-GA-EAR":[206],"method":[207],"utilizes":[208],"classical":[209],"ALR-GA":[210],"sleeping":[211],"simulation-based":[212],"hyper-tuning":[213],"optimize":[215],"population":[216],"initialisation":[217],"fitness":[219],"evaluation":[220],"function":[221],"computation,":[222],"facilitating":[223],"training":[225],"parameter":[226],"generation.":[227],"Third,":[228],"DL":[230,299],"module":[232,246,259],"designed":[234],"trained":[236],"offline":[237],"performance":[240],"optimisation,":[241],"online":[244],"ALR-GA-EAR":[245,258],"used":[248],"select":[250],"optimal":[251],"hyperparameters":[252],"consumption.":[256],"employed":[261],"adjust":[263],"demands":[265],"routes":[267],"accordingly.":[268],"Lastly,":[269],"after":[270],"being":[271],"trained,":[272],"final":[274],"model":[275],"deployed":[277],"generate":[279],"near-optimal":[280],"routes.":[282],"ML":[284,297],"method,":[287],"developed":[288],"Mininet":[291],"emulator":[292],"on":[293],"Ubuntu,":[294],"outperforms":[295],"traditional":[296],"frameworks":[300],"accuracy":[302],"power":[304],"savings,":[305],"demonstrating":[306],"potential":[307],"improved":[309],"operation":[310],"current":[314],"future":[316],"SDN":[317]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-07-02T00:00:00"}