{"id":"https://openalex.org/W4386412418","doi":"https://doi.org/10.1109/tits.2023.3308070","title":"Using Deep Reinforcement Learning to Automate Network Configurations for Internet of Vehicles","display_name":"Using Deep Reinforcement Learning to Automate Network Configurations for Internet of Vehicles","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4386412418","doi":"https://doi.org/10.1109/tits.2023.3308070"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3308070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3308070","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5100381473","display_name":"Xing Liu","orcid":"https://orcid.org/0000-0002-8038-9030"},"institutions":[{"id":"https://openalex.org/I191429286","display_name":"Sam Houston State University","ror":"https://ror.org/00yh3cz06","country_code":"US","type":"education","lineage":["https://openalex.org/I191429286"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xing Liu","raw_affiliation_strings":["Department of Computer Science, Sam Houston State University, Huntsville, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Sam Houston State University, Huntsville, TX, USA","institution_ids":["https://openalex.org/I191429286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075280084","display_name":"Cheng Qian","orcid":"https://orcid.org/0000-0003-1681-8512"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Qian","raw_affiliation_strings":["Department of Computer and Information Science, Towson University, Towson, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-1681-8512","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002139930","display_name":"Wei Yu","orcid":"https://orcid.org/0000-0003-4522-7340"},"institutions":[{"id":"https://openalex.org/I4322298","display_name":"Towson University","ror":"https://ror.org/044w7a341","country_code":"US","type":"education","lineage":["https://openalex.org/I4322298"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Yu","raw_affiliation_strings":["Department of Computer and Information Science, Towson University, Towson, MD, USA"],"raw_orcid":"https://orcid.org/0000-0003-4522-7340","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Towson University, Towson, MD, USA","institution_ids":["https://openalex.org/I4322298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064877913","display_name":"David Griffith","orcid":"https://orcid.org/0000-0002-7986-1924"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Griffith","raw_affiliation_strings":["Communications Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210101396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064400975","display_name":"Avi Gopstein","orcid":"https://orcid.org/0000-0002-5654-669X"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Avi Gopstein","raw_affiliation_strings":["Communications Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210101396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060015284","display_name":"Nada Golmie","orcid":"https://orcid.org/0000-0002-2898-1651"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210101396","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210101396"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nada Golmie","raw_affiliation_strings":["Communications Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA"],"raw_orcid":"https://orcid.org/0000-0002-2898-1651","affiliations":[{"raw_affiliation_string":"Communications Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210101396"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1936,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78568925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"12","first_page":"15948","last_page":"15958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9947999715805054,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9947999715805054,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9930999875068665,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7935510873794556},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7651592493057251},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5739503502845764},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49020177125930786},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4819886088371277},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.47042059898376465},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46003445982933044},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4492805600166321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44714248180389404},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4314859211444855},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.36570245027542114},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.22288212180137634},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1036292314529419},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0962754487991333},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08933910727500916}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7935510873794556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651592493057251},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5739503502845764},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49020177125930786},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4819886088371277},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.47042059898376465},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46003445982933044},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4492805600166321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44714248180389404},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4314859211444855},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.36570245027542114},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.22288212180137634},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1036292314529419},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0962754487991333},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08933910727500916},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2023.3308070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3308070","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1504901460","https://openalex.org/W2101786389","https://openalex.org/W2159691338","https://openalex.org/W2768629321","https://openalex.org/W2888757899","https://openalex.org/W2913732814","https://openalex.org/W2943266615","https://openalex.org/W2948502305","https://openalex.org/W2962777436","https://openalex.org/W2963070605","https://openalex.org/W2996954347","https://openalex.org/W3011884107","https://openalex.org/W3041497362","https://openalex.org/W3084753309","https://openalex.org/W3090648718","https://openalex.org/W3093903657","https://openalex.org/W3100491179","https://openalex.org/W3113783140","https://openalex.org/W3127561923","https://openalex.org/W3153113614","https://openalex.org/W3176725384","https://openalex.org/W3180743145","https://openalex.org/W4285225730","https://openalex.org/W4299590776"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W2964765435"],"abstract_inverted_index":{"In":[0,109],"this":[1,40],"paper,":[2],"we":[3,42,56,150],"address":[4,39],"the":[5,17,65,95,99,106,125,134,139,152,163,169],"issue":[6],"of":[7,19,60,67,154,165],"automating":[8],"network":[9,13,23,52,88,101],"configurations":[10],"for":[11,92,103],"dynamic":[12,34],"environments":[14,27,171],"such":[15],"as":[16,90],"Internet":[18],"Vehicles":[20],"(IoV).":[21],"Configuring":[22],"settings":[24,53],"in":[25,105,168],"IoV":[26,51,107,147,170],"has":[28],"proven":[29],"difficult":[30],"due":[31],"to":[32,49,63,85],"their":[33],"and":[35,116,175],"self-organizing":[36],"nature.":[37],"To":[38],"issue,":[41],"propose":[43],"a":[44,58,68,86,130],"deep":[45],"reinforcement":[46],"learning-based":[47],"approach":[48,112],"configure":[50],"automatically.":[54],"Specifically,":[55],"use":[57],"collection":[59],"neural":[61],"networks":[62],"convert":[64],"observations":[66],"communication":[69],"environment":[70],"(channel":[71],"power":[72,75],"gain,":[73,76],"cross-channel":[74],"etc.)":[77],"into":[78],"key":[79],"features,":[80],"which":[81],"are":[82],"then":[83],"supplied":[84],"deep$Q$neural":[87],"(DQN)":[89],"input":[91],"training.":[93],"Afterward,":[94],"DQN":[96,126,140],"will":[97],"select":[98],"optimal":[100],"configuration":[102],"vehicles":[104,142],"environment.":[108],"addition,":[110],"our":[111,145,155],"considers":[113],"both":[114],"centralized":[115,121],"distributed":[117,135],"training":[118,122,127,136],"strategies.":[119],"The":[120],"strategy":[123,137],"conducts":[124],"process":[128],"on":[129,141],"roadside":[131],"server,":[132],"while":[133],"trains":[138],"locally.":[143],"Through":[144],"designed":[146],"simulation":[148],"platform,":[149],"evaluate":[151],"efficacy":[153],"proposed":[156],"approach,":[157],"demonstrating":[158],"that":[159],"it":[160],"can":[161],"improve":[162],"quality":[164],"services":[166],"(QoS)":[167],"concerning":[172],"reliability,":[173],"latency,":[174],"service":[176],"satisfaction.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}