{"id":"https://openalex.org/W4376852294","doi":"https://doi.org/10.1145/3573942.3573987","title":"Research on Task Offloading Based on Deep Reinforcement Learning for Internet of Vehicles","display_name":"Research on Task Offloading Based on Deep Reinforcement Learning for Internet of Vehicles","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852294","doi":"https://doi.org/10.1145/3573942.3573987"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3573987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573942.3573987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-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/A5004570505","display_name":"Yaoping Zeng","orcid":"https://orcid.org/0000-0002-8483-5528"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaoping Zeng","raw_affiliation_strings":["Xi'an University of Posts & Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-8483-5528","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091958534","display_name":"Yanwei Hu","orcid":"https://orcid.org/0000-0002-0228-1366"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Hu","raw_affiliation_strings":["Xi'an University of Posts & Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-0228-1366","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100733952","display_name":"Ting Yang","orcid":"https://orcid.org/0000-0003-2351-3928"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Yang","raw_affiliation_strings":["Xi'an University of Posts & Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-2351-3928","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004570505"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23112981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1033","last_page":"1038"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994999766349792,"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":0.9994999766349792,"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/T13553","display_name":"Age of Information Optimization","score":0.9864000082015991,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9690999984741211,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.860195517539978},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8399916291236877},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6503961086273193},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6286541223526001},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.6203637719154358},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5957192778587341},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5744863748550415},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5401055216789246},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5001468658447266},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4836336374282837},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.46470537781715393},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4425908625125885},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4281140863895416},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.41631361842155457},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.41067320108413696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23871931433677673},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09130331873893738},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07942187786102295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.860195517539978},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8399916291236877},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6503961086273193},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6286541223526001},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.6203637719154358},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5957192778587341},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5744863748550415},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5401055216789246},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5001468658447266},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4836336374282837},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.46470537781715393},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4425908625125885},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4281140863895416},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.41631361842155457},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.41067320108413696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23871931433677673},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09130331873893738},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07942187786102295},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573942.3573987","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3573942.3573987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2786309777","https://openalex.org/W2792765732","https://openalex.org/W2954039338","https://openalex.org/W2968021413","https://openalex.org/W3009758867","https://openalex.org/W3035788210","https://openalex.org/W3089786558","https://openalex.org/W3089820562","https://openalex.org/W3158091394","https://openalex.org/W3202343625","https://openalex.org/W3215484517","https://openalex.org/W4231058926"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4361251304","https://openalex.org/W3139051647","https://openalex.org/W2902693277","https://openalex.org/W4378977105","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W2968424451","https://openalex.org/W4221092438"],"abstract_inverted_index":{"Mobile":[0],"Edge":[1],"Computing":[2],"(MEC)":[3],"is":[4,27],"a":[5],"promising":[6],"technology":[7],"that":[8,102],"facilitates":[9],"the":[10,17,24,39,45,52,56,62,75,82,103],"computational":[11],"offloading":[12,78,95],"and":[13,60,69,96,120,129],"resource":[14,97],"allocation":[15],"in":[16,114],"Internet":[18],"of":[19,64,116],"Vehicles":[20],"(IoV)":[21],"environment.":[22],"When":[23],"mobile":[25],"device":[26],"not":[28],"capable":[29],"enough":[30],"to":[31,44,88],"meet":[32,55],"its":[33],"own":[34],"demands":[35],"for":[36,93],"data":[37,130],"processing,":[38],"task":[40,77,94],"will":[41],"be":[42],"offloaded":[43],"MEC":[46],"server,":[47],"which":[48],"can":[49],"effectively":[50],"relieve":[51],"network":[53],"pressure,":[54],"multi-task":[57],"computing":[58],"requirements,":[59],"ensure":[61],"quality":[63],"service":[65],"(QoS).":[66],"Via":[67],"multi-user":[68],"multi-MEC":[70],"servers,":[71],"this":[72],"paper":[73],"proposes":[74],"Q-Learning":[76],"strategy":[79,92],"based":[80],"on":[81],"improved":[83],"deep":[84],"reinforcement":[85],"learning":[86],"policy(IDRLP)":[87],"obtain":[89],"an":[90],"optimal":[91],"allocation.":[98],"Simulation":[99],"results":[100],"suggest":[101],"proposed":[104],"algorithm":[105],"compared":[106],"with":[107,125],"other":[108],"benchmark":[109],"schemes":[110],"has":[111],"better":[112],"performance":[113],"terms":[115],"delay,":[117],"energy":[118],"consumption":[119],"system":[121],"weighted":[122],"cost,":[123],"even":[124],"different":[126],"tasks,":[127],"users":[128],"sizes.":[131]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}