{"id":"https://openalex.org/W4379382457","doi":"https://doi.org/10.1109/jiot.2023.3282968","title":"CWEmd: A Lightweight Similarity Measurement for Resource-Constrained Vehicular Networks","display_name":"CWEmd: A Lightweight Similarity Measurement for Resource-Constrained Vehicular Networks","publication_year":2023,"publication_date":"2023-06-05","ids":{"openalex":"https://openalex.org/W4379382457","doi":"https://doi.org/10.1109/jiot.2023.3282968"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3282968","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/jiot.2023.3282968","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","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/A5048120714","display_name":"Cheng Qiao","orcid":"https://orcid.org/0000-0003-2887-5549"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Qiao","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2887-5549","affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052508716","display_name":"Kenneth N. Brown","orcid":"https://orcid.org/0000-0003-1853-0723"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Kenneth N. Brown","raw_affiliation_strings":["Department of Computer Science, Insight Centre for Data Analytics, University College Cork, Cork, Ireland"],"raw_orcid":"https://orcid.org/0000-0003-1853-0723","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Insight Centre for Data Analytics, University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419827","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0002-8730-3711"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8730-3711","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056608045","display_name":"Zhihong Tian","orcid":"https://orcid.org/0000-0002-9409-5359"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Tian","raw_affiliation_strings":["Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9409-5359","affiliations":[{"raw_affiliation_string":"Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2454,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51323712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"10","issue":"22","first_page":"19655","last_page":"19665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9955999851226807,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8124819993972778},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6421394944190979},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6378434300422668},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.626618504524231},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5551570653915405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5431423187255859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38710707426071167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3574520945549011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8124819993972778},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6421394944190979},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6378434300422668},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.626618504524231},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5551570653915405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5431423187255859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38710707426071167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3574520945549011},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3282968","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/jiot.2023.3282968","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1149992077","display_name":null,"funder_award_id":"2022M710861","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1425463384","display_name":null,"funder_award_id":"16/SP/3804","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G2505869560","display_name":null,"funder_award_id":"U20B2046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2629015153","display_name":null,"funder_award_id":"SFI/12/RC/2289-P2","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G3999187850","display_name":null,"funder_award_id":"202102020867","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4764805747","display_name":null,"funder_award_id":"62202114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6320099806","display_name":null,"funder_award_id":"202102010445","funder_id":"https://openalex.org/F4320328715","funder_display_name":"Guangzhou University"},{"id":"https://openalex.org/G6740853036","display_name":null,"funder_award_id":"2020A1515010450","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320328715","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W1493454437","https://openalex.org/W1559169059","https://openalex.org/W1984634762","https://openalex.org/W1985059878","https://openalex.org/W2017954997","https://openalex.org/W2041439392","https://openalex.org/W2051529712","https://openalex.org/W2054028875","https://openalex.org/W2063851392","https://openalex.org/W2089276320","https://openalex.org/W2099822495","https://openalex.org/W2135674292","https://openalex.org/W2137243801","https://openalex.org/W2137394440","https://openalex.org/W2158800651","https://openalex.org/W2254589950","https://openalex.org/W2341935269","https://openalex.org/W2545176003","https://openalex.org/W2585491580","https://openalex.org/W2606460416","https://openalex.org/W2607681021","https://openalex.org/W2755865277","https://openalex.org/W2784643306","https://openalex.org/W2804721500","https://openalex.org/W2807970597","https://openalex.org/W2905466209","https://openalex.org/W2906845853","https://openalex.org/W2973893776","https://openalex.org/W2998738125","https://openalex.org/W3002823324","https://openalex.org/W3025029677","https://openalex.org/W3025804100","https://openalex.org/W3036791758","https://openalex.org/W3093966118","https://openalex.org/W3097884549","https://openalex.org/W3100121400","https://openalex.org/W3163129084","https://openalex.org/W3206829058","https://openalex.org/W4224223167","https://openalex.org/W4224933793","https://openalex.org/W4226304999","https://openalex.org/W4285236726","https://openalex.org/W4287332481","https://openalex.org/W4312699393","https://openalex.org/W4312770831","https://openalex.org/W6607976765","https://openalex.org/W6682962330","https://openalex.org/W6738958611","https://openalex.org/W6751882866","https://openalex.org/W6779445818"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W2155261584","https://openalex.org/W2584231425","https://openalex.org/W2150611273","https://openalex.org/W4207086172","https://openalex.org/W2042919702","https://openalex.org/W4225981436","https://openalex.org/W2156185805","https://openalex.org/W2770353918","https://openalex.org/W2122502560"],"abstract_inverted_index":{"Generating":[0],"an":[1,139],"accurate":[2],"machine":[3],"learning":[4],"(ML)":[5],"model":[6,21],"is":[7,22,67,111,116,136],"of":[8,14,30,62,71,99,106,149,152,187],"great":[9],"importance":[10],"for":[11,81,129],"the":[12,26,60,69,97,126,146,150,153,167,185],"Internet":[13],"Vehicles":[15],"(IoV).":[16],"However,":[17,59],"obtaining":[18],"such":[19],"a":[20,91,103,120],"challenging":[23],"due":[24],"to":[25,55,95,124,145],"fact":[27],"that":[28],"subgroups":[29],"in-network":[31],"vehicles":[32,183],"receive":[33],"data":[34,180],"from":[35,182],"different":[36,57,100],"resources.":[37],"A":[38],"worthwhile":[39],"investment":[40],"then":[41,117],"would":[42],"be":[43],"identifying":[44],"those":[45],"groups":[46],"before":[47],"inferring":[48],"models.":[49],"Similarity":[50],"metrics":[51],"are":[52],"widely":[53],"used":[54],"distinguish":[56],"groups.":[58],"efficiency":[61,186],"most":[63],"existing":[64],"similarity":[65,98],"measurements":[66],"at":[68],"cost":[70],"increased":[72],"computational":[73],"complexity":[74],"and":[75],"decreased":[76],"accuracy,":[77],"making":[78],"them":[79],"unsuitable":[80],"IoV\u2019s":[82],"stringent":[83],"conditions.":[84],"To":[85],"address":[86],"this":[87],"issue,":[88],"we":[89],"propose":[90],"computationally":[92],"efficient":[93],"method":[94],"measure":[96],"vehicles,":[101],"where":[102],"simplified":[104],"version":[105],"Earth":[107],"mover\u2019s":[108],"distance":[109,114],"(EMD)":[110],"adopted.":[112],"This":[113],"metric":[115],"embedded":[118],"into":[119],"distributed":[121],"clustering":[122,168],"algorithm":[123,148,157],"learn":[125],"global":[127],"pattern":[128],"vehicular":[130],"systems.":[131],"Our":[132],"algorithm\u2019s":[133],"overall":[134],"performance":[135],"measured":[137],"using":[138],"asynchronous":[140],"message":[141],"delay":[142],"simulator.":[143],"Compared":[144],"best":[147],"state":[151],"art,":[154],"our":[155,188],"proposed":[156,189],"converges":[158],"slightly":[159],"slower":[160],"(by":[161],"less":[162],"than":[163],"1%)":[164],"but":[165],"improves":[166],"accuracy":[169],"by":[170],"as":[171,173],"much":[172],"20%":[174],"with":[175],"synthetic":[176],"data.":[177],"Additionally,":[178],"real-world":[179],"collected":[181],"validates":[184],"algorithm.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
