{"id":"https://openalex.org/W4414603109","doi":"https://doi.org/10.1109/tnse.2025.3615533","title":"Age-of-Information-Aware Hierarchical Collaborative Inference in Digital Twin-Enabled Vehicular Edge Computing","display_name":"Age-of-Information-Aware Hierarchical Collaborative Inference in Digital Twin-Enabled Vehicular Edge Computing","publication_year":2025,"publication_date":"2025-09-29","ids":{"openalex":"https://openalex.org/W4414603109","doi":"https://doi.org/10.1109/tnse.2025.3615533"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3615533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3615533","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5049896980","display_name":"Xiangyi Chen","orcid":"https://orcid.org/0000-0001-5549-5336"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyi Chen","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-5549-5336","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007865788","display_name":"Huanlai Xing","orcid":"https://orcid.org/0000-0002-6345-7265"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanlai Xing","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6345-7265","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051107722","display_name":"Qinnan Zhang","orcid":"https://orcid.org/0000-0001-9220-2694"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinnan Zhang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9220-2694","affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005327587","display_name":"Zehui Xiong","orcid":"https://orcid.org/0000-0002-4440-941X"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zehui Xiong","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore","Singapore University of Technology and Design, 487372, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4440-941X","affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]},{"raw_affiliation_string":"Singapore University of Technology and Design, 487372, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085493660","display_name":"Yuanguo Bi","orcid":"https://orcid.org/0000-0002-8424-8542"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanguo Bi","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-8424-8542","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xingwei Wang","orcid":"https://orcid.org/0000-0003-2856-4716"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwei Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-2856-4716","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049896980"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29626955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"2388","last_page":"2404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9995999932289124,"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/T13553","display_name":"Age of Information Optimization","score":0.9995999932289124,"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/T13471","display_name":"Cognitive Functions and Memory","score":0.9664999842643738,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.9124000072479248,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7979000210762024},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6421999931335449},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6245999932289124},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5080999732017517},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5073999762535095},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4893999993801117},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.4546000063419342},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4196999967098236},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4108999967575073}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409000039100647},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7979000210762024},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6421999931335449},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6245999932289124},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5803999900817871},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5080999732017517},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4893999993801117},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.4546000063419342},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4108999967575073},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3855000138282776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34769999980926514},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.34139999747276306},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.335999995470047},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29809999465942383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2980000078678131},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.2953000068664551},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C192448918","wikidata":"https://www.wikidata.org/wiki/Q682677","display_name":"Vehicular ad hoc network","level":4,"score":0.26019999384880066},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3615533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3615533","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2388165117","display_name":null,"funder_award_id":"2025ZNSFSC1470","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G406727251","display_name":null,"funder_award_id":"2682025CX111","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8687053284","display_name":null,"funder_award_id":"2024M752676","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"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":68,"referenced_works":["https://openalex.org/W2909977353","https://openalex.org/W2995037286","https://openalex.org/W3011932893","https://openalex.org/W3097525958","https://openalex.org/W3115881467","https://openalex.org/W3153345798","https://openalex.org/W3200886011","https://openalex.org/W3213649788","https://openalex.org/W4205274477","https://openalex.org/W4206176461","https://openalex.org/W4281554877","https://openalex.org/W4285211200","https://openalex.org/W4285261368","https://openalex.org/W4295832328","https://openalex.org/W4296707125","https://openalex.org/W4297310212","https://openalex.org/W4311457589","https://openalex.org/W4313144683","https://openalex.org/W4324290859","https://openalex.org/W4328007710","https://openalex.org/W4366378709","https://openalex.org/W4379033898","https://openalex.org/W4379744715","https://openalex.org/W4384129884","https://openalex.org/W4385216115","https://openalex.org/W4386212338","https://openalex.org/W4386260591","https://openalex.org/W4386275616","https://openalex.org/W4386275648","https://openalex.org/W4386275752","https://openalex.org/W4386275820","https://openalex.org/W4386494564","https://openalex.org/W4386699354","https://openalex.org/W4386869820","https://openalex.org/W4387319311","https://openalex.org/W4387831770","https://openalex.org/W4388579751","https://openalex.org/W4389538540","https://openalex.org/W4390660449","https://openalex.org/W4391128462","https://openalex.org/W4391250505","https://openalex.org/W4392152725","https://openalex.org/W4392450883","https://openalex.org/W4396505843","https://openalex.org/W4396667043","https://openalex.org/W4396877810","https://openalex.org/W4399110650","https://openalex.org/W4399527139","https://openalex.org/W4400644807","https://openalex.org/W4400678947","https://openalex.org/W4401507026","https://openalex.org/W4401508667","https://openalex.org/W4401539913","https://openalex.org/W4402508647","https://openalex.org/W4403308466","https://openalex.org/W4403511102","https://openalex.org/W4403826595","https://openalex.org/W4404125292","https://openalex.org/W4404562740","https://openalex.org/W4404835703","https://openalex.org/W4404835757","https://openalex.org/W4405754909","https://openalex.org/W4406069832","https://openalex.org/W4407736716","https://openalex.org/W4408324681","https://openalex.org/W4408441388","https://openalex.org/W4408947155","https://openalex.org/W4413125789"],"related_works":[],"abstract_inverted_index":{"Digital":[0],"twin-enabled":[1],"vehicular":[2,53,121],"edge":[3,60,117,150],"computing":[4],"leverages":[5],"virtual":[6],"representations":[7],"of":[8,30,38,47,73,157,164,170],"physical":[9],"vehicles":[10],"to":[11,63,115,138,174],"facilitate":[12],"real-time":[13],"intelligent":[14],"services":[15,40],"such":[16],"as":[17],"collaborative":[18,87],"perception,":[19],"trajectory":[20],"prediction,":[21],"fault":[22],"diagnosis,":[23],"and":[24,33,55,89,104,124,186,190],"proactive":[25],"decision-making":[26],"through":[27],"seamless":[28],"integration":[29],"sensing,":[31],"computing,":[32],"communication":[34],"resources.":[35],"The":[36],"effectiveness":[37,156],"these":[39],"critically":[41],"depends":[42],"on":[43,120],"the":[44,71,94,128,155,158,175,183,192],"timely":[45],"execution":[46],"deep":[48],"learning":[49],"inference":[50,67,88,101,146,184],"tasks.":[51],"However,":[52],"mobility":[54,122],"dynamic":[56,112,145],"contention":[57],"for":[58,86,100],"limited":[59],"resources":[61,142],"lead":[62],"significant":[64],"delays":[65],"in":[66,168],"execution,":[68],"thereby":[69],"degrading":[70],"accuracy":[72],"digital":[74,90,105],"twin-assisted":[75],"decision-making.":[76],"To":[77],"address":[78],"this":[79],"challenge,":[80],"we":[81],"propose":[82],"a":[83,97,131,162],"hierarchical":[84],"framework":[85],"twin":[91,106],"deployment.":[92],"At":[93,127],"upper":[95],"layer,":[96,130],"mobility-aware":[98],"strategy":[99],"task":[102],"offloading":[103],"deployment":[107],"is":[108,136],"employed,":[109],"which":[110],"incorporates":[111],"action-space":[113],"pruning":[114],"select":[116],"nodes":[118],"based":[119],"patterns":[123],"link":[125],"stability.":[126],"lower":[129],"delay-resource":[132],"gradient-based":[133],"optimization":[134],"mechanism":[135],"designed":[137],"adaptively":[139],"allocate":[140],"computational":[141],"by":[143],"matching":[144],"demands":[147],"with":[148],"available":[149],"capacity.":[151],"Extensive":[152],"simulations":[153],"demonstrate":[154],"proposed":[159],"approach,":[160],"showing":[161],"reduction":[163],"at":[165],"least":[166],"15%":[167],"Age":[169],"Information":[171],"(AoI)":[172],"compared":[173],"baseline":[176],"methods.":[177],"Moreover,":[178],"our":[179],"approach":[180],"significantly":[181],"improves":[182],"efficiency":[185],"system":[187],"resource":[188],"utilization,":[189],"reduces":[191],"deadline":[193],"violation":[194],"rate.":[195]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
