{"id":"https://openalex.org/W4386902905","doi":"https://doi.org/10.1109/tii.2023.3313649","title":"Cost-Efficient Vehicular Crowdsensing Based on Implicit Relation Aware Graph Attention Networks","display_name":"Cost-Efficient Vehicular Crowdsensing Based on Implicit Relation Aware Graph Attention Networks","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4386902905","doi":"https://doi.org/10.1109/tii.2023.3313649"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3313649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3313649","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","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/A5079280268","display_name":"Jie Huo","orcid":"https://orcid.org/0000-0001-6171-4654"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huo","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6171-4654","affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057155774","display_name":"Luhan Wang","orcid":"https://orcid.org/0000-0002-7056-5416"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luhan Wang","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7056-5416","affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000851572","display_name":"Xiangming Wen","orcid":"https://orcid.org/0000-0003-2793-6696"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangming Wen","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2793-6696","affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021728919","display_name":"David Gesbert","orcid":"https://orcid.org/0000-0002-4806-704X"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Gesbert","raw_affiliation_strings":["Department of Communications Systems, EURECOM, Sophia Antipolis, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Communications Systems, EURECOM, Sophia Antipolis, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019111566","display_name":"Zhaoming Lu","orcid":"https://orcid.org/0000-0002-0182-1770"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoming Lu","raw_affiliation_strings":["Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0182-1770","affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Advanced Information Networks and the Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":4.0073,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.94643908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"20","issue":"3","first_page":"3715","last_page":"3725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9959999918937683,"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":0.7720369100570679},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6690044403076172},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.5279644727706909},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.505795955657959},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4859582185745239},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4528653025627136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42646482586860657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3664911985397339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30006635189056396},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22156739234924316},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.20244133472442627}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7720369100570679},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6690044403076172},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.5279644727706909},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.505795955657959},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4859582185745239},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4528653025627136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42646482586860657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3664911985397339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30006635189056396},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22156739234924316},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.20244133472442627},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2023.3313649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3313649","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","raw_type":"journal-article"},{"id":"pmh:oai:fr.eurecom:7443","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/TII.2023.3313649","pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Industrial Informatics, September 2023","raw_type":"Journal"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1978695314","https://openalex.org/W2070807660","https://openalex.org/W2153458569","https://openalex.org/W2789572951","https://openalex.org/W2893733132","https://openalex.org/W2897520559","https://openalex.org/W2943584607","https://openalex.org/W2972004543","https://openalex.org/W2987889432","https://openalex.org/W3012494113","https://openalex.org/W3036266450","https://openalex.org/W3036813940","https://openalex.org/W3037121310","https://openalex.org/W3048295601","https://openalex.org/W3092147969","https://openalex.org/W3093761440","https://openalex.org/W3095933406","https://openalex.org/W3103427490","https://openalex.org/W3109901740","https://openalex.org/W3118272270","https://openalex.org/W3132204861","https://openalex.org/W3156080831","https://openalex.org/W3158913607","https://openalex.org/W3174894125","https://openalex.org/W3182874219","https://openalex.org/W3184718620","https://openalex.org/W3189107204","https://openalex.org/W3195300506","https://openalex.org/W3200036893","https://openalex.org/W3205626500","https://openalex.org/W3210634464","https://openalex.org/W4206143364","https://openalex.org/W4212788507","https://openalex.org/W4283773315","https://openalex.org/W4285244819","https://openalex.org/W4362514681","https://openalex.org/W4366504184","https://openalex.org/W6726873649","https://openalex.org/W6745537798"],"related_works":["https://openalex.org/W2563347706","https://openalex.org/W2608033733","https://openalex.org/W4287604253","https://openalex.org/W1894261276","https://openalex.org/W2295662171","https://openalex.org/W2168877220","https://openalex.org/W4381785531","https://openalex.org/W4360776667","https://openalex.org/W3098657080","https://openalex.org/W4232477044"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,12,28,42,58,64,92,101,176,212,246],"vehicular":[3,13,24,31,138],"intelligence":[4],"and":[5,26,47,112,131,167,178,216],"networking":[6],"has":[7],"led":[8],"to":[9,35,71,86,164,186,208,225],"the":[10,40,99,161,188,193,198,210,213,227,244,247],"emergence":[11],"crowdsensing":[14,32,81,139],"as":[15],"a":[16,55,62,77,90,136,173,184,201],"new":[17],"perception":[18],"paradigm.":[19],"By":[20],"integrating":[21],"edge":[22],"computing,":[23],"intelligence,":[25],"Internet":[27],"Vehicles":[29],"technologies,":[30],"is":[33,68,206],"poised":[34],"have":[36,83,236],"far-reaching":[37],"implications":[38],"in":[39,229],"domains":[41],"intelligent":[43],"transportation,":[44],"industrial":[45],"sensing,":[46],"smart":[48],"cities.":[49],"In":[50],"urban":[51],"sensing":[52,93,110],"scenarios,":[53],"recruiting":[54],"large":[56],"number":[57],"users":[59],"can":[60],"provide":[61],"lot":[63],"useful":[65],"data,":[66],"yet":[67],"costly":[69],"due":[70],"expected":[72],"financial":[73],"incentive":[74],"plans.":[75],"As":[76],"solution,":[78],"sparse":[79],"mobile":[80],"techniques":[82],"been":[84,237],"proposed":[85,207,248],"collect":[87],"data":[88,96,123,129,152,190],"at":[89],"subset":[91],"grids":[94,111,171,228],"for":[95,121],"inference.":[97,124],"However,":[98],"majority":[100],"these":[102],"methods":[103],"rely":[104],"solely":[105],"on":[106,142,192,239],"explicit":[107,168],"connections":[108],"between":[109,170],"do":[113],"not":[114],"consider":[115],"implicit":[116,143,166],"relations,":[117],"which":[118,149,242],"are":[119],"crucial":[120],"accurate":[122],"To":[125],"achieve":[126],"both":[127],"high-quality":[128],"inference":[130,153],"cost":[132],"reduction,":[133],"we":[134,159,182,220],"propose":[135],"cost-efficient":[137],"scheme":[140],"based":[141,191],"relation-aware":[144,177],"graph":[145,179],"attention":[146],"networks":[147],"(CVC-IRGAT),":[148],"combines":[150],"missing":[151],"with":[154,231],"active":[155,222],"grid":[156],"selection.":[157],"First,":[158],"design":[160,183],"IRGAT":[162],"model":[163,217],"capture":[165],"relations":[169],"through":[172],"dual-channel":[174],"mechanism":[175],"attention.":[180],"Then,":[181],"method":[185],"assess":[187],"inferred":[189,214],"Gaussian":[194],"mixture":[195],"model.":[196],"Given":[197],"assessment":[199],"values,":[200],"deviation":[202],"information":[203],"score":[204],"function":[205],"measure":[209],"importance":[211],"values":[215],"errors.":[218],"Finally,":[219],"introduce":[221],"learning":[223],"iterations":[224],"select":[226],"accordance":[230],"this":[232],"function.":[233],"Extensive":[234],"experiments":[235],"conducted":[238],"real-world":[240],"datasets,":[241],"demonstrate":[243],"superiority":[245],"CVC-IRGAT.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}