{"id":"https://openalex.org/W4402041046","doi":"https://doi.org/10.1109/access.2024.3452190","title":"An Energy-Efficient Dynamic Offloading Algorithm for Edge Computing Based on Deep Reinforcement Learning","display_name":"An Energy-Efficient Dynamic Offloading Algorithm for Edge Computing Based on Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402041046","doi":"https://doi.org/10.1109/access.2024.3452190"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3452190","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3452190","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3452190","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048212581","display_name":"Keyu Zhu","orcid":"https://orcid.org/0009-0002-3165-2047"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyu Zhu","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China"],"raw_orcid":"https://orcid.org/0009-0002-3165-2047","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354322","display_name":"Shaobo Li","orcid":"https://orcid.org/0000-0003-4759-6000"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Li","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4759-6000","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343562","display_name":"Xingxing Zhang","orcid":"https://orcid.org/0000-0001-6368-5762"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Zhang","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6368-5762","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681074","display_name":"Jinming Wang","orcid":"https://orcid.org/0000-0002-2452-9158"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinming Wang","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100313967","display_name":"Cankun Xie","orcid":"https://orcid.org/0009-0007-5921-6809"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cankun Xie","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005199779","display_name":"Fengbin Wu","orcid":"https://orcid.org/0000-0001-6094-8221"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengbin Wu","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6094-8221","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114160510","display_name":"Rongxiang Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongxiang Xie","raw_affiliation_strings":["College of Computer Science and Technology, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178232147"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.5339,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.97199061,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"127489","last_page":"127506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9864000082015991,"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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8597275018692017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.810634970664978},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45304301381111145},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.4132327139377594},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4130690097808838},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3961995840072632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34121134877204895}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8597275018692017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810634970664978},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45304301381111145},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.4132327139377594},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4130690097808838},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3961995840072632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34121134877204895}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3452190","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3452190","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e8418f021d2044b788ec6d83729c9f42","is_oa":true,"landing_page_url":"https://doaj.org/article/e8418f021d2044b788ec6d83729c9f42","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 127489-127506 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3452190","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3452190","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W2033180428","https://openalex.org/W2059687185","https://openalex.org/W2547443968","https://openalex.org/W2613317603","https://openalex.org/W2624989916","https://openalex.org/W2743147997","https://openalex.org/W2782955024","https://openalex.org/W2810002837","https://openalex.org/W2886901290","https://openalex.org/W2913740539","https://openalex.org/W2920290726","https://openalex.org/W2963001767","https://openalex.org/W2963060851","https://openalex.org/W2964054168","https://openalex.org/W2970982242","https://openalex.org/W3008115759","https://openalex.org/W3016764502","https://openalex.org/W3017518089","https://openalex.org/W3034265764","https://openalex.org/W3048697798","https://openalex.org/W3081088023","https://openalex.org/W3105504538","https://openalex.org/W3108384552","https://openalex.org/W3130425349","https://openalex.org/W3137932838","https://openalex.org/W3144235125","https://openalex.org/W3161037238","https://openalex.org/W3163488673","https://openalex.org/W3175345449","https://openalex.org/W3190618479","https://openalex.org/W3214755690","https://openalex.org/W3217119770","https://openalex.org/W4205498942","https://openalex.org/W4206044098","https://openalex.org/W4206321341","https://openalex.org/W4221003299","https://openalex.org/W4239494064","https://openalex.org/W4285736496","https://openalex.org/W4313219439","https://openalex.org/W4319993360","https://openalex.org/W4323022485","https://openalex.org/W4323644407","https://openalex.org/W4360995127","https://openalex.org/W4362586792","https://openalex.org/W4377695283","https://openalex.org/W4385301659","https://openalex.org/W4385431255","https://openalex.org/W4387643251","https://openalex.org/W4387681922","https://openalex.org/W4390607243","https://openalex.org/W4390828922","https://openalex.org/W4391097173","https://openalex.org/W4391755617","https://openalex.org/W4391853671","https://openalex.org/W4392125553","https://openalex.org/W4392294045","https://openalex.org/W4399337817","https://openalex.org/W6759254000"],"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":{"Mobile":[0],"edge":[1,38,60,82,94,172,188],"computing":[2,7,39,169],"(MEC)":[3],"represents":[4],"a":[5,65,122],"promising":[6],"paradigm":[8],"within":[9],"Artificial":[10],"Intelligence":[11],"Generated":[12],"Content":[13],"(AIGC),":[14],"offering":[15],"users":[16],"instant,":[17],"customized,":[18],"and":[19,32,48,93,105,114,129,179,181],"personalized":[20],"services.":[21],"However,":[22],"with":[23,96],"the":[24,28,33,73,140,161,168,183,187],"continued":[25],"growth":[26],"of":[27,35,50,171,186],"AIGC":[29,108],"user":[30],"base":[31],"expansion":[34],"service":[36],"demands,":[37],"nodes":[40],"are":[41],"required":[42],"to":[43,54,77,100,111,138,143,156],"handle":[44],"an":[45],"increasing":[46],"number":[47],"complexity":[49],"offloading":[51,68,117],"tasks,":[52],"leading":[53],"significant":[55],"energy":[56,79,103,130,148,177,184],"consumption":[57,104,178],"issues":[58],"in":[59,81],"systems.":[61],"This":[62,85],"paper":[63],"introduces":[64],"distributed":[66,88],"task":[67,116],"framework":[69,86,164],"(EE-A2C)":[70],"that":[71],"utilizes":[72,167],"Advantage":[74],"Actor-Critic":[75],"algorithm":[76],"enhance":[78,139],"efficiency":[80,185],"cloud":[83,189],"environments.":[84],"facilitates":[87],"interactions":[89],"among":[90],"multiple":[91],"agents":[92],"environments":[95],"communication":[97],"queues,":[98],"aiming":[99],"minimize":[101],"average":[102,176],"latency":[106,128],"for":[107],"users.":[109],"Secondly,":[110],"achieve":[112],"adaptive":[113],"efficient":[115],"decisions,":[118],"we":[119,133],"have":[120,134],"developed":[121],"complex":[123],"reward-sharing":[124],"model":[125],"based":[126],"on":[127],"consumption.":[131],"Finally,":[132],"also":[135],"incorporated":[136],"LSTM":[137],"model\u2019s":[141],"ability":[142],"capture":[144],"critical":[145],"information":[146],"about":[147],"consumption,":[149],"thereby":[150],"promoting":[151],"more":[152,165],"robust":[153],"decision-making.":[154],"Compared":[155],"eight":[157],"state-of-the-art":[158],"energy-saving":[159],"algorithms,":[160],"proposed":[162],"EE-A2C":[163],"effectively":[166],"power":[170],"nodes,":[173],"significantly":[174],"reduces":[175],"latency,":[180],"enhances":[182],"system.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
