{"id":"https://openalex.org/W4388145372","doi":"https://doi.org/10.1109/tvt.2023.3329076","title":"Deep Echo State Q-Network Aided Trust Sharing Provisioning for Internet of Vehicle","display_name":"Deep Echo State Q-Network Aided Trust Sharing Provisioning for Internet of Vehicle","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4388145372","doi":"https://doi.org/10.1109/tvt.2023.3329076"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3329076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3329076","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5080987681","display_name":"Tao Jing","orcid":"https://orcid.org/0000-0001-5277-1729"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Jing","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5277-1729","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101496084","display_name":"Yue Liu","orcid":"https://orcid.org/0000-0003-1689-8276"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1689-8276","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695922","display_name":"Xiaoxuan Wang","orcid":"https://orcid.org/0000-0003-3308-0759"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxuan Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3308-0759","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019590395","display_name":"Qinghe Gao","orcid":"https://orcid.org/0000-0002-4397-9154"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghe Gao","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4397-9154","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.2323,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52441701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"73","issue":"3","first_page":"3993","last_page":"4004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987000226974487,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987000226974487,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9984999895095825,"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/T12676","display_name":"Machine Learning and ELM","score":0.9858999848365784,"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":0.7657598257064819},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5666993856430054},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5536266565322876},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5529072880744934},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5376381278038025},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4964945912361145},{"id":"https://openalex.org/keywords/information-sharing","display_name":"Information sharing","score":0.4740195870399475},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46728119254112244},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4640476107597351},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.45149537920951843},{"id":"https://openalex.org/keywords/trust-management","display_name":"Trust management (information system)","score":0.45003458857536316},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4394471049308777},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4188830852508545},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4034346342086792},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3832492232322693},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3413616418838501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1982763111591339},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15844732522964478},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1320417821407318},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11472845077514648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657598257064819},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5666993856430054},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5536266565322876},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5529072880744934},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5376381278038025},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4964945912361145},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.4740195870399475},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46728119254112244},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4640476107597351},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.45149537920951843},{"id":"https://openalex.org/C2776384856","wikidata":"https://www.wikidata.org/wiki/Q17145767","display_name":"Trust management (information system)","level":2,"score":0.45003458857536316},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4394471049308777},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4188830852508545},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4034346342086792},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3832492232322693},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3413616418838501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1982763111591339},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15844732522964478},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1320417821407318},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11472845077514648},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2023.3329076","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3329076","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3358989713","display_name":null,"funder_award_id":"2023JBMC036","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7052355602","display_name":null,"funder_award_id":"2022JBQY004","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8967325307","display_name":null,"funder_award_id":"62102019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2157766189","https://openalex.org/W2170211850","https://openalex.org/W2414006382","https://openalex.org/W2511562406","https://openalex.org/W2787415220","https://openalex.org/W2885420314","https://openalex.org/W2891299863","https://openalex.org/W2894110571","https://openalex.org/W3001774639","https://openalex.org/W3023368586","https://openalex.org/W3094692755","https://openalex.org/W3095478532","https://openalex.org/W3100844423","https://openalex.org/W3103530611","https://openalex.org/W3118352709","https://openalex.org/W3120387238","https://openalex.org/W3124358233","https://openalex.org/W3127042088","https://openalex.org/W3127085325","https://openalex.org/W3127561923","https://openalex.org/W3198565520","https://openalex.org/W3210879719","https://openalex.org/W6677939520","https://openalex.org/W6712909570","https://openalex.org/W6756992200","https://openalex.org/W7034522702"],"related_works":["https://openalex.org/W2117806953","https://openalex.org/W4213214852","https://openalex.org/W2512014291","https://openalex.org/W2556090351","https://openalex.org/W1589140671","https://openalex.org/W2465145931","https://openalex.org/W2120406836","https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532"],"abstract_inverted_index":{"Internet":[0],"of":[1,45,49,82,140,149,157,190],"Vehicles":[2],"is":[3,153],"an":[4],"intelligent":[5],"transportation":[6,34],"network":[7,102],"system":[8],"with":[9,155],"complex":[10],"and":[11,24,36,79,103,133,161,178,188],"highly":[12],"distributed":[13,67],"characteristics.":[14],"The":[15,118],"ability":[16],"to":[17,106,109,142,174],"share":[18,110],"information":[19,112],"between":[20],"vehicles,":[21,83],"pedestrians,":[22],"infrastructure,":[23],"the":[25,43,47,76,87,138,143,147,150,169,186,191],"cloud":[26],"has":[27,53,179],"created":[28],"rich":[29],"opportunities":[30],"for":[31,38],"deploying":[32],"various":[33],"applications":[35],"services":[37],"Intelligent":[39],"Transportation":[40],"System.":[41],"However,":[42],"problem":[44],"sharing":[46,69],"results":[48,123],"node":[50],"trust":[51,68,111,121],"evaluation":[52,122],"been":[54],"seriously":[55],"neglected":[56],"in":[57],"existing":[58],"studies.":[59],"Given":[60],"this":[61,63],"situation,":[62],"paper":[64],"proposes":[65],"a":[66,127,175,180],"mechanism":[70],"based":[71],"on":[72],"Reservoir":[73],"Computing.":[74],"Considering":[75],"limited":[77],"storage":[78],"computing":[80],"capacity":[81],"we":[84,97],"set":[85],"up":[86],"model":[88],"as":[89,90],"Partially":[91],"Observable":[92],"Markov":[93],"Decision":[94],"Process.":[95],"Besides":[96],"novelly":[98],"combined":[99],"Echo":[100],"state":[101],"Reinforcement":[104],"Learning":[105],"support":[107],"vehicles":[108,141],"by":[113],"predicting":[114],"future":[115],"driving":[116],"directions.":[117],"current":[119],"vehicle":[120],"are":[124],"incorporated":[125],"into":[126],"new":[128],"parameter":[129],"besides":[130],"traffic":[131,134],"accidents":[132],"flow,":[135],"which":[136,166,184],"protects":[137],"security":[139],"greatest":[144],"extent.":[145],"Finally,":[146],"performance":[148],"proposed":[151,170],"algorithm":[152,171],"compared":[154],"those":[156],"Multilayer":[158],"Perceptron-based":[159],"DQN":[160,163],"LSTM-based":[162],"through":[164],"simulation,":[165],"proves":[167],"that":[168],"can":[172],"converge":[173],"better":[176],"solution":[177],"faster":[181],"convergence":[182],"speed,":[183],"verifies":[185],"feasibility":[187],"effectiveness":[189],"method.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
