{"id":"https://openalex.org/W4404479833","doi":"https://doi.org/10.1109/tvt.2024.3499962","title":"Adaptive Prioritization and Task Offloading in Vehicular Edge Computing Through Deep Reinforcement Learning","display_name":"Adaptive Prioritization and Task Offloading in Vehicular Edge Computing Through Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404479833","doi":"https://doi.org/10.1109/tvt.2024.3499962"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3499962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3499962","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/A5083706960","display_name":"Ashab Uddin","orcid":"https://orcid.org/0009-0002-5450-4063"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ashab Uddin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052891361","display_name":"Ahmed Hamdi Sakr","orcid":null},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ahmed Hamdi Sakr","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404886","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0002-8781-4925"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083706960"],"corresponding_institution_ids":["https://openalex.org/I74413500"],"apc_list":null,"apc_paid":null,"fwci":4.4396,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.95229562,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"74","issue":"3","first_page":"5038","last_page":"5052"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.961899995803833,"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"}},"topics":[{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.961899995803833,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9344000220298767,"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":0.9327999949455261,"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":0.7702175974845886},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.7272526621818542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886669993400574},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5946031808853149},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5295466184616089},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.5151385068893433},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4311261773109436},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3870324492454529},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3629764914512634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3295954763889313},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26681768894195557},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.12447643280029297}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7702175974845886},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.7272526621818542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886669993400574},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5946031808853149},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5295466184616089},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5151385068893433},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4311261773109436},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3870324492454529},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3629764914512634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3295954763889313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26681768894195557},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.12447643280029297},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2024.3499962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3499962","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2516316490","https://openalex.org/W2800305275","https://openalex.org/W2895973886","https://openalex.org/W2898839547","https://openalex.org/W2919995315","https://openalex.org/W2950681065","https://openalex.org/W2963686989","https://openalex.org/W2968424451","https://openalex.org/W2980048925","https://openalex.org/W3000156254","https://openalex.org/W3004417498","https://openalex.org/W3004718830","https://openalex.org/W3010178570","https://openalex.org/W3025119169","https://openalex.org/W3037839446","https://openalex.org/W3044319949","https://openalex.org/W3046053751","https://openalex.org/W3089192431","https://openalex.org/W3103230030","https://openalex.org/W3109463546","https://openalex.org/W3112138107","https://openalex.org/W3117584958","https://openalex.org/W3130534369","https://openalex.org/W3134947650","https://openalex.org/W3137932838","https://openalex.org/W3170988745","https://openalex.org/W3188199045","https://openalex.org/W3196226093","https://openalex.org/W3197981246","https://openalex.org/W3199183581","https://openalex.org/W3204493036","https://openalex.org/W3207223387","https://openalex.org/W3209697490","https://openalex.org/W3215484517","https://openalex.org/W4205365067","https://openalex.org/W4210485470","https://openalex.org/W4211239004","https://openalex.org/W4213007507","https://openalex.org/W4225510410","https://openalex.org/W4285198284","https://openalex.org/W4291653298","https://openalex.org/W4312529905","https://openalex.org/W4312976991","https://openalex.org/W4321483887","https://openalex.org/W4361853812","https://openalex.org/W4361856578","https://openalex.org/W4384786167","https://openalex.org/W4385945324","https://openalex.org/W4388427863","https://openalex.org/W4388483435","https://openalex.org/W4391129743","https://openalex.org/W4402834104"],"related_works":["https://openalex.org/W4361251304","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W2914646191","https://openalex.org/W3174690704","https://openalex.org/W4386004629","https://openalex.org/W2968424451","https://openalex.org/W4221092438"],"abstract_inverted_index":{"Vehicular":[0],"edge":[1,12],"computing":[2],"enables":[3],"real-time":[4],"decision-making":[5],"by":[6,121,131],"offloading":[7,21,104],"vehicular":[8],"computation":[9],"tasks":[10,92],"to":[11,32,75],"servers":[13],"along":[14],"roadways.":[15],"This":[16],"paper":[17],"focuses":[18],"on":[19,29,86],"optimizing":[20],"and":[22,41,102,133,153,158,167],"scheduling":[23],"these":[24],"tasks,":[25,126,145,160],"with":[26,93,161],"an":[27],"emphasis":[28],"task":[30,34,83,119,147],"prioritization":[31],"maximize":[33],"completion":[35,120,162],"within":[36],"deadlines":[37,95],"while":[38,127],"minimizing":[39],"latency":[40],"energy":[42,129],"consumption":[43,130],"across":[44,105,174],"all":[45,106],"priority":[46,66,107,175],"levels.":[47,108],"We":[48],"propose":[49],"a":[50,60],"prioritized":[51],"Deep":[52],"Q-Network":[53],"(DQNP)":[54],"that":[55,112],"optimizes":[56],"long-term":[57],"rewards":[58],"through":[59],"priority-scaled":[61],"reward":[62],"system":[63],"for":[64,124,143,155],"each":[65],"level,":[67],"guiding":[68],"the":[69,138],"deep":[70],"reinforcement":[71],"learning":[72],"(DRL)":[73],"agent":[74],"select":[76],"optimal":[77],"actions.":[78],"The":[79],"model":[80,139],"dynamically":[81],"adjusts":[82],"selection":[84,148],"based":[85],"environmental":[87],"conditions,":[88],"such":[89],"as":[90],"prioritizing":[91],"higher":[94],"in":[96],"poor":[97],"channel":[98],"states,":[99],"ensuring":[100],"balanced":[101,171],"efficient":[103],"Simulation":[109],"results":[110],"demonstrate":[111],"DQNP":[113],"outperforms":[114],"existing":[115],"baseline":[116],"algorithms,":[117],"increasing":[118],"14%,":[122],"particularly":[123],"high-priority":[125,159],"reducing":[128],"8%":[132],"maintaining":[134],"similar":[135],"latency.":[136],"Additionally,":[137],"mitigates":[140],"resource":[141,172],"starvation":[142],"lower-priority":[144],"achieving":[146],"rates":[149],"of":[150,164],"27%,":[151],"32%,":[152],"42%":[154],"low-,":[156],"medium-,":[157],"ratios":[163],"88%,":[165],"87%,":[166],"86%,":[168],"respectively,":[169],"reflecting":[170],"allocation":[173],"classes.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
