{"id":"https://openalex.org/W4394575214","doi":"https://doi.org/10.1186/s13634-024-01142-2","title":"A deep reinforcement approach for computation offloading in MEC dynamic networks","display_name":"A deep reinforcement approach for computation offloading in MEC dynamic networks","publication_year":2024,"publication_date":"2024-04-07","ids":{"openalex":"https://openalex.org/W4394575214","doi":"https://doi.org/10.1186/s13634-024-01142-2"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-024-01142-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01142-2","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01142-2","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01142-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027079174","display_name":"Yibiao Fan","orcid":"https://orcid.org/0000-0001-9803-2067"},"institutions":[{"id":"https://openalex.org/I181361081","display_name":"Longyan University","ror":"https://ror.org/0483s5p06","country_code":"CN","type":"education","lineage":["https://openalex.org/I181361081"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yibiao Fan","raw_affiliation_strings":["School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan, 361000, Fujian, China"],"raw_orcid":"https://orcid.org/0000-0001-9803-2067","affiliations":[{"raw_affiliation_string":"School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan, 361000, Fujian, China","institution_ids":["https://openalex.org/I181361081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008881690","display_name":"Xiaowei Cai","orcid":"https://orcid.org/0000-0002-3862-9969"},"institutions":[{"id":"https://openalex.org/I181361081","display_name":"Longyan University","ror":"https://ror.org/0483s5p06","country_code":"CN","type":"education","lineage":["https://openalex.org/I181361081"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Cai","raw_affiliation_strings":["School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan, 361000, Fujian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Physics and Mechanical and Electrical Engineering, Longyan University, Longyan, 361000, Fujian, China","institution_ids":["https://openalex.org/I181361081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027079174"],"corresponding_institution_ids":["https://openalex.org/I181361081"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":2.9181,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.90865615,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2024","issue":"1","first_page":null,"last_page":null},"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/T13553","display_name":"Age of Information Optimization","score":0.9975000023841858,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.8601890802383423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8562818169593811},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7706767320632935},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.7369124889373779},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.7238231301307678},{"id":"https://openalex.org/keywords/computation-offloading","display_name":"Computation offloading","score":0.6134188175201416},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4991769790649414},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4854510426521301},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4560135006904602},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.43434813618659973},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4204980432987213},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.41983330249786377},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.41247400641441345},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.38684940338134766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3264027237892151},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13793352246284485}],"concepts":[{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.8601890802383423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8562818169593811},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7706767320632935},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.7369124889373779},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.7238231301307678},{"id":"https://openalex.org/C2781041963","wikidata":"https://www.wikidata.org/wiki/Q18348618","display_name":"Computation offloading","level":4,"score":0.6134188175201416},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4991769790649414},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4854510426521301},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4560135006904602},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.43434813618659973},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4204980432987213},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.41983330249786377},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41247400641441345},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38684940338134766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3264027237892151},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13793352246284485},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-024-01142-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01142-2","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01142-2","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6c013ac2b3ec418197beb4191691abaa","is_oa":true,"landing_page_url":"https://doaj.org/article/6c013ac2b3ec418197beb4191691abaa","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":"EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-19 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-024-01142-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-024-01142-2","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1186/s13634-024-01142-2","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3051665873","display_name":null,"funder_award_id":"2023J01967","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"}],"funders":[{"id":"https://openalex.org/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4394575214.pdf","grobid_xml":"https://content.openalex.org/works/W4394575214.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W914916633","https://openalex.org/W2116175219","https://openalex.org/W2397723600","https://openalex.org/W2416799949","https://openalex.org/W2486687030","https://openalex.org/W2608841173","https://openalex.org/W2624989916","https://openalex.org/W2777180355","https://openalex.org/W2791432311","https://openalex.org/W2794311034","https://openalex.org/W2898035736","https://openalex.org/W2919603306","https://openalex.org/W2950920210","https://openalex.org/W2952108774","https://openalex.org/W2964054168","https://openalex.org/W2985664868","https://openalex.org/W3084780939","https://openalex.org/W3085455012","https://openalex.org/W3111750230","https://openalex.org/W3114047313","https://openalex.org/W3144494418","https://openalex.org/W3153119982","https://openalex.org/W3167135299","https://openalex.org/W3174997142","https://openalex.org/W3175112753","https://openalex.org/W3178811552","https://openalex.org/W3183047104","https://openalex.org/W3185123191","https://openalex.org/W3197876962","https://openalex.org/W3203417629","https://openalex.org/W3209954252","https://openalex.org/W4200433338","https://openalex.org/W4200447014","https://openalex.org/W4205833229","https://openalex.org/W4206596641","https://openalex.org/W4210485470","https://openalex.org/W4226313405","https://openalex.org/W4255601674","https://openalex.org/W4293691051"],"related_works":["https://openalex.org/W4200420173","https://openalex.org/W4225987626","https://openalex.org/W3120617837","https://openalex.org/W3127808443","https://openalex.org/W2916011811","https://openalex.org/W3034137700","https://openalex.org/W4362496467","https://openalex.org/W2896883851","https://openalex.org/W2796352555","https://openalex.org/W4406207611"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"study,":[3],"we":[4,68],"investigate":[5],"the":[6,24,34,50,56,70,93,98],"challenges":[7],"associated":[8],"with":[9,62],"dynamic":[10],"time":[11],"slot":[12],"server":[13,39,101],"selection":[14,94],"in":[15,103],"mobile":[16],"edge":[17,31,60],"computing":[18],"(MEC)":[19],"systems.":[20],"This":[21],"study":[22],"considers":[23],"fluctuating":[25],"nature":[26],"of":[27,58,100],"user":[28],"access":[29],"at":[30],"servers":[32,61],"and":[33,49,78],"various":[35],"factors":[36],"that":[37,109],"influence":[38],"workload,":[40],"including":[41],"offloading":[42,44],"policies,":[43],"ratios,":[45],"users\u2019":[46],"transmission":[47],"power,":[48],"servers\u2019":[51],"reserved":[52],"capacity.":[53],"To":[54],"streamline":[55],"process":[57],"selecting":[59],"an":[63],"eye":[64],"on":[65],"long-term":[66],"optimization,":[67],"cast":[69],"problem":[71],"as":[72,86],"a":[73,80,87],"Markov":[74],"Decision":[75],"Process":[76],"(MDP)":[77],"propose":[79],"Deep":[81],"Reinforcement":[82],"Learning":[83],"(DRL)-based":[84],"algorithm":[85,112],"solution.":[88],"Our":[89],"approach":[90],"involves":[91],"learning":[92],"strategy":[95],"by":[96],"analyzing":[97],"performance":[99],"selections":[102],"previous":[104],"iterations.":[105],"Simulation":[106],"outcomes":[107],"show":[108],"our":[110],"DRL-based":[111],"surpasses":[113],"benchmarks,":[114],"delivering":[115],"minimal":[116],"average":[117],"latency.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}