{"id":"https://openalex.org/W2990574056","doi":"https://doi.org/10.1109/icves.2019.8906296","title":"Enhanced Urban Clustering in VANETs Using Online Machine Learning","display_name":"Enhanced Urban Clustering in VANETs Using Online Machine Learning","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2990574056","doi":"https://doi.org/10.1109/icves.2019.8906296","mag":"2990574056"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2019.8906296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2019.8906296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039488421","display_name":"Ghada Alsuhli","orcid":"https://orcid.org/0000-0001-7251-747X"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ghada H. Alsuhli","raw_affiliation_strings":["Cairo University,Electronics and Electrical Communications Engineering Department,Giza,Egypt","Electronics and Electrical Communications Engineering Department, Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cairo University,Electronics and Electrical Communications Engineering Department,Giza,Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Electronics and Electrical Communications Engineering Department, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011131520","display_name":"Ahmed Khattab","orcid":"https://orcid.org/0000-0002-3425-9833"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmed Khattab","raw_affiliation_strings":["Cairo University,Electronics and Electrical Communications Engineering Department,Giza,Egypt","Electronics and Electrical Communications Engineering Department, Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cairo University,Electronics and Electrical Communications Engineering Department,Giza,Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Electronics and Electrical Communications Engineering Department, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082551668","display_name":"Yasmine Fahmy","orcid":"https://orcid.org/0000-0001-9796-7813"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Yasmine A. Fahmy","raw_affiliation_strings":["Cairo University,Electronics and Electrical Communications Engineering Department,Giza,Egypt","Electronics and Electrical Communications Engineering Department, Cairo University, Giza, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cairo University,Electronics and Electrical Communications Engineering Department,Giza,Egypt","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Electronics and Electrical Communications Engineering Department, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057380866","display_name":"Yehia Massoud","orcid":"https://orcid.org/0000-0002-6701-0639"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yehia Massoud","raw_affiliation_strings":["Stevens Institute of Technology,School of Systems and Enterprises,Hoboken,NJ,USA","School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,School of Systems and Enterprises,Hoboken,NJ,USA","institution_ids":["https://openalex.org/I108468826"]},{"raw_affiliation_string":"School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5467,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72554951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9926000237464905,"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/cluster-analysis","display_name":"Cluster analysis","score":0.909701943397522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8136857151985168},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7202303409576416},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5906540155410767},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5562762022018433},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.512239396572113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4837503433227539},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4809271991252899},{"id":"https://openalex.org/keywords/vehicular-ad-hoc-network","display_name":"Vehicular ad hoc network","score":0.4603244364261627},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4584052860736847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42868903279304504},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.4137868881225586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40279489755630493},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.217107892036438},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.16887784004211426},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14218071103096008},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.10063278675079346},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07762166857719421}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.909701943397522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8136857151985168},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7202303409576416},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5906540155410767},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5562762022018433},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.512239396572113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4837503433227539},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4809271991252899},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.4603244364261627},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4584052860736847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42868903279304504},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.4137868881225586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40279489755630493},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.217107892036438},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.16887784004211426},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14218071103096008},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.10063278675079346},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07762166857719421},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves.2019.8906296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2019.8906296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Vehicular Electronics and Safety (ICVES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1671764676","https://openalex.org/W2016136354","https://openalex.org/W2075189959","https://openalex.org/W2101427257","https://openalex.org/W2137811710","https://openalex.org/W2158054309","https://openalex.org/W2288387493","https://openalex.org/W2288630566","https://openalex.org/W2522153945","https://openalex.org/W2602188896","https://openalex.org/W2603688380","https://openalex.org/W2741087535","https://openalex.org/W2741751294","https://openalex.org/W2749871135","https://openalex.org/W2785479027","https://openalex.org/W2790074059","https://openalex.org/W2803136913","https://openalex.org/W2807700713","https://openalex.org/W2809199618","https://openalex.org/W2898426468","https://openalex.org/W2904519450","https://openalex.org/W2907353304","https://openalex.org/W2920369357","https://openalex.org/W2929063847","https://openalex.org/W2950261725","https://openalex.org/W4289743997","https://openalex.org/W6753838347"],"related_works":["https://openalex.org/W2027636740","https://openalex.org/W2062688728","https://openalex.org/W2061231656","https://openalex.org/W2771454953","https://openalex.org/W3046762796","https://openalex.org/W3202102306","https://openalex.org/W3046260513","https://openalex.org/W2998294818","https://openalex.org/W45347327","https://openalex.org/W4327774248"],"abstract_inverted_index":{"Clustering":[0,45],"in":[1,34,100,112,126],"Vehicular":[2],"Ad-Hoc":[3],"Networks":[4],"(VANETs)":[5],"is":[6,51,92,110,121],"essential":[7],"to":[8,53,68,95,123],"mitigate":[9],"different":[10],"challenges":[11],"and":[12,30,78,98,131,135],"meet":[13],"the":[14,22,70,73,80,87,106],"required":[15],"quality":[16],"of":[17,21,72,86],"communications.":[18],"However,":[19],"most":[20],"available":[23],"clustering":[24,55,115,119],"protocols":[25],"were":[26],"designed":[27],"for":[28],"highways,":[29],"thus":[31],"become":[32],"unstable":[33],"realistic":[35,128],"urban":[36,129],"environments":[37],"with":[38],"many":[39],"intersections.":[40,58],"In":[41],"this":[42],"paper,":[43],"a":[44,113,127],"Adaptation":[46],"Near":[47],"Intersection":[48],"(CANI)":[49],"approach":[50,60,109],"proposed":[52,107],"ensure":[54],"stability":[56,134],"at":[57],"This":[59],"exploits":[61],"Online":[62],"Sequential":[63],"Extreme":[64],"Learning":[65],"Machine":[66],"(OS-ELM)":[67],"predict":[69],"behavior":[71],"vehicles":[74],"near":[75],"an":[76],"intersection":[77],"adapt":[79],"clusters":[81],"accordingly.":[82],"The":[83,117],"main":[84],"advantage":[85],"developed":[88],"OS-ELM":[89],"prediction":[90],"model":[91],"its":[93],"ability":[94],"continuously":[96],"learn":[97],"update":[99],"real":[101],"time.":[102],"After":[103],"being":[104],"validated,":[105],"adaptation":[108],"included":[111],"highway":[114],"scheme.":[116],"resultant":[118],"protocol":[120],"compared":[122],"other":[124],"schemes":[125],"environment,":[130],"shows":[132],"significant":[133],"efficiency":[136],"performance":[137],"improvement.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
