{"id":"https://openalex.org/W4213446039","doi":"https://doi.org/10.1145/3474556","title":"Traffic Classification in Underwater Networks Using SDN and Data-Driven Hybrid Metaheuristics","display_name":"Traffic Classification in Underwater Networks Using SDN and Data-Driven Hybrid Metaheuristics","publication_year":2022,"publication_date":"2022-02-23","ids":{"openalex":"https://openalex.org/W4213446039","doi":"https://doi.org/10.1145/3474556"},"language":"en","primary_location":{"id":"doi:10.1145/3474556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474556","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5040852063","display_name":"Buddhadeb Pradhan","orcid":"https://orcid.org/0000-0003-3496-3625"},"institutions":[{"id":"https://openalex.org/I187761245","display_name":"National Institute of Technology Jamshedpur","ror":"https://ror.org/01sebzx27","country_code":"IN","type":"education","lineage":["https://openalex.org/I187761245"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Pradhan","raw_affiliation_strings":["National Institute of Technology Jamshedpur, Jamshedpur, Jharkhand, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Jamshedpur, Jamshedpur, Jharkhand, India","institution_ids":["https://openalex.org/I187761245"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041541232","display_name":"Gautam Srivastava","orcid":"https://orcid.org/0000-0001-9851-4103"},"institutions":[{"id":"https://openalex.org/I48890080","display_name":"Brandon University","ror":"https://ror.org/02qp25a50","country_code":"CA","type":"education","lineage":["https://openalex.org/I48890080"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Gautam Srivastava","raw_affiliation_strings":["Brandon University, Brandon, Manitoba, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brandon University, Brandon, Manitoba, Canada","institution_ids":["https://openalex.org/I48890080"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011943818","display_name":"Diptendu Sinha Roy","orcid":"https://orcid.org/0000-0001-9731-2534"},"institutions":[{"id":"https://openalex.org/I9523339","display_name":"National Institute of Technology Meghalaya","ror":"https://ror.org/020vd6n84","country_code":"IN","type":"education","lineage":["https://openalex.org/I9523339"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. S. Roy","raw_affiliation_strings":["National Institute of Technology Meghalaya, Shillong, Meghalaya, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Technology Meghalaya, Shillong, Meghalaya, India","institution_ids":["https://openalex.org/I9523339"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113885688","display_name":"K. Hemant Kumar Reddy","orcid":"https://orcid.org/0000-0003-2492-3312"},"institutions":[{"id":"https://openalex.org/I4210098947","display_name":"National Institute of Science and Technology","ror":"https://ror.org/01150px97","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210098947"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K. H. K. Reddy","raw_affiliation_strings":["National Institute of Science and Technology, Visakhapatnam, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Science and Technology, Visakhapatnam, Andhra Pradesh, India","institution_ids":["https://openalex.org/I4210098947"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Western Norway University of Applied Sciences, Inndalsveien, Bergen, Norway"],"raw_orcid":"https://orcid.org/0000-0001-8768-9709","affiliations":[{"raw_affiliation_string":"Western Norway University of Applied Sciences, Inndalsveien, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7112,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.84480671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"18","issue":"3","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994000196456909,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994000196456909,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9994000196456909,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8511404991149902},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.6221457123756409},{"id":"https://openalex.org/keywords/software-defined-networking","display_name":"Software-defined networking","score":0.537697434425354},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5277196764945984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5010716915130615},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4648280143737793},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4516375660896301},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.448807954788208},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43890872597694397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4118039309978485},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3471043109893799},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34162795543670654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511404991149902},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6221457123756409},{"id":"https://openalex.org/C77270119","wikidata":"https://www.wikidata.org/wiki/Q1655198","display_name":"Software-defined networking","level":2,"score":0.537697434425354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5277196764945984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5010716915130615},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4648280143737793},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4516375660896301},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.448807954788208},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43890872597694397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4118039309978485},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3471043109893799},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34162795543670654},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474556","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2025702307","https://openalex.org/W2040340473","https://openalex.org/W2060598671","https://openalex.org/W2096118443","https://openalex.org/W2146860726","https://openalex.org/W2169245194","https://openalex.org/W2169263368","https://openalex.org/W2511505324","https://openalex.org/W2564630785","https://openalex.org/W2606453436","https://openalex.org/W2753391747","https://openalex.org/W2758897017","https://openalex.org/W2764139274","https://openalex.org/W2792567669","https://openalex.org/W2915905517","https://openalex.org/W3006438239","https://openalex.org/W3018908910","https://openalex.org/W3070476684","https://openalex.org/W4239038753","https://openalex.org/W4239963787","https://openalex.org/W4285772298"],"related_works":["https://openalex.org/W3019402777","https://openalex.org/W4386596916","https://openalex.org/W3212544526","https://openalex.org/W2031835531","https://openalex.org/W2388590088","https://openalex.org/W1969166468","https://openalex.org/W2323516465","https://openalex.org/W4238615239","https://openalex.org/W2122371747","https://openalex.org/W3217116317"],"abstract_inverted_index":{"Software-Defined":[0],"Networks":[1,118],"(":[2,48,101,181],"SDNs":[3],"),":[4],"with":[5,39,119,144],"their":[6,85],"segregated":[7],"data":[8,22,58,62],"and":[9,60,73,115,138,150,159,177,194],"control":[10],"planes,":[11],"has":[12],"proved":[13],"to":[14,123],"be":[15],"capable":[16],"of":[17,21,42,46,57,99,166,205],"managing":[18],"massive":[19],"amounts":[20],"by":[23,84,156],"leveraging":[24],"distributed":[25],"information":[26],"available":[27],"across":[28],"the":[29,35,40,90,171,203],"network":[30,36,80,127],"for":[31,93,163,184],"informed":[32],"decision-making":[33,113],"at":[34],"controller.":[37],"However,":[38],"proliferation":[41],"next-generation,":[43],"real-time":[44,94],"Internet":[45],"Things":[47],"IoT":[49,95],")":[50,183],"applications":[51],"that":[52],"vary":[53],"greatly":[54],"in":[55],"terms":[56],"frequency":[59],"volumes,":[61],"traffic":[63,74,128,186],"classification":[64,81,187],"can":[65],"substantially":[66],"assist":[67],"SDN":[68,111],"controllers":[69],"toward":[70],"efficient":[71],"routing":[72],"engineering":[75],"decisions.":[76],"Existing":[77],"works":[78],"on":[79,109],"are":[82],"limited":[83],"application-centric":[86],"nature,":[87],"thus":[88],"overlooking":[89],"key":[91],"criterion":[92],"applications,":[96],"namely,":[97,132],"Quality":[98],"Service":[100],"QoS":[102],").":[103],"In":[104,169],"this":[105],"article,":[106],"we":[107],"focus":[108],"augmenting":[110],"controllers\u2019":[112],"capacity":[114],"Underwater":[116],"Sensor":[117],"machine":[120,179],"learning":[121,180],"algorithms":[122,176],"achieve":[124],"real-time,":[125],"QoS-aware,":[126],"classification.":[129],"Three":[130],"classifiers,":[131],"Feed-forward":[133],"Neural":[134,148],"Network,":[135],"Na\u00efve":[136],"Bayes,":[137],"Logistics":[139],"Regression":[140],"have":[141],"been":[142],"employed":[143],"a":[145],"novel":[146],"Artificial":[147],"Network":[149],"Particle":[151],"Swarm":[152],"Optimization":[153],"hybridization":[154],"scheme":[155],"carrying":[157],"first-":[158],"second-order":[160],"stability":[161],"analysis":[162],"performance":[164],"improvement":[165],"these":[167],"classifiers.":[168],"short,":[170],"proposed":[172,207],"framework":[173],"exploits":[174],"optimization":[175],"semi-supervised":[178],"ML":[182],"precise":[185],"while":[188],"keeping":[189],"communication":[190],"overhead":[191],"between":[192],"controller":[193],"switches":[195],"minimal.":[196],"Results":[197],"obtained":[198],"from":[199],"real-life":[200],"datasets":[201],"demonstrate":[202],"efficacy":[204],"our":[206],"scheme.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
