{"id":"https://openalex.org/W7117645512","doi":"https://doi.org/10.1108/ijwis-05-2025-0131","title":"Multi-queue Lyapunov-guided deep reinforcement learning scheme for mobile edge computing offloading","display_name":"Multi-queue Lyapunov-guided deep reinforcement learning scheme for mobile edge computing offloading","publication_year":2025,"publication_date":"2025-12-31","ids":{"openalex":"https://openalex.org/W7117645512","doi":"https://doi.org/10.1108/ijwis-05-2025-0131"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-05-2025-0131","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-05-2025-0131","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","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/A5100405325","display_name":"Jianhua Liu","orcid":"https://orcid.org/0000-0002-4195-5212"},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianhua Liu","raw_affiliation_strings":["Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,","institution_ids":["https://openalex.org/I58995867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050146421","display_name":"Xudong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Zhang","raw_affiliation_strings":["Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,","institution_ids":["https://openalex.org/I58995867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101299137","display_name":"Xia Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Lei","raw_affiliation_strings":["Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,","institution_ids":["https://openalex.org/I58995867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100572249","display_name":"Houqiang Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houqiang Hua","raw_affiliation_strings":["Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,","institution_ids":["https://openalex.org/I58995867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013979705","display_name":"Xiaoguang Tu","orcid":"https://orcid.org/0000-0002-1185-5229"},"institutions":[{"id":"https://openalex.org/I58995867","display_name":"Civil Aviation Flight University of China","ror":"https://ror.org/01xyb1v19","country_code":"CN","type":"education","lineage":["https://openalex.org/I58995867"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Tu","raw_affiliation_strings":["Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil Aviation Flight University of China Institute of Electronic and Electrical Engineering, , Guanghan,","institution_ids":["https://openalex.org/I58995867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100405325"],"corresponding_institution_ids":["https://openalex.org/I58995867"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70908141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"1","first_page":"44","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.5273000001907349,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11133","display_name":"UAV Applications and Optimization","score":0.5273000001907349,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.41519999504089355,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.007600000128149986,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7555000185966492},{"id":"https://openalex.org/keywords/lyapunov-optimization","display_name":"Lyapunov optimization","score":0.7505000233650208},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.6449000239372253},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5554999709129333},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.43779999017715454},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.42500001192092896},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.40059998631477356},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.39980000257492065},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.37929999828338623},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.3725999891757965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8784000277519226},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7555000185966492},{"id":"https://openalex.org/C101403955","wikidata":"https://www.wikidata.org/wiki/Q6707083","display_name":"Lyapunov optimization","level":5,"score":0.7505000233650208},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.6449000239372253},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5554999709129333},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5248000025749207},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.43779999017715454},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.42500001192092896},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.40059998631477356},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.39980000257492065},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3756999969482422},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3725999891757965},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C2776829284","wikidata":"https://www.wikidata.org/wiki/Q1341651","display_name":"Lyapunov stability","level":3,"score":0.36160001158714294},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.36149999499320984},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.35519999265670776},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.289000004529953},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-05-2025-0131","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-05-2025-0131","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5835387706756592}],"awards":[{"id":"https://openalex.org/G5923794530","display_name":null,"funder_award_id":"62406207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6273429709","display_name":null,"funder_award_id":"24CAFUC03022","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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":36,"referenced_works":["https://openalex.org/W2624989916","https://openalex.org/W2898652425","https://openalex.org/W2901631215","https://openalex.org/W2904994737","https://openalex.org/W2963060851","https://openalex.org/W2963334314","https://openalex.org/W2964098968","https://openalex.org/W2968424451","https://openalex.org/W2971448198","https://openalex.org/W3017518089","https://openalex.org/W3023749864","https://openalex.org/W3105504538","https://openalex.org/W3159145702","https://openalex.org/W3168768468","https://openalex.org/W4206585306","https://openalex.org/W4285120839","https://openalex.org/W4285247671","https://openalex.org/W4285740401","https://openalex.org/W4301852635","https://openalex.org/W4362544357","https://openalex.org/W4368232611","https://openalex.org/W4385308337","https://openalex.org/W4386070912","https://openalex.org/W4389131192","https://openalex.org/W4391745163","https://openalex.org/W4391952703","https://openalex.org/W4399207070","https://openalex.org/W4399556249","https://openalex.org/W4399769993","https://openalex.org/W4400391268","https://openalex.org/W4400489430","https://openalex.org/W4401607818","https://openalex.org/W4402932342","https://openalex.org/W4402996786","https://openalex.org/W4404609348","https://openalex.org/W4405954724"],"related_works":[],"abstract_inverted_index":{"Purpose":[0],"In":[1],"time-critical":[2],"natural":[3],"disaster":[4],"scenarios,":[5],"unmanned":[6],"aerial":[7],"vehicles":[8],"(UAVs)":[9],"are":[10,247],"crucial":[11],"for":[12,25,146,214],"search":[13],"and":[14,92,112,174,216,245],"rescue.":[15],"While":[16],"mobile":[17],"edge":[18,218],"computing":[19,219],"(MEC)":[20],"enables":[21],"real-time":[22,147],"data":[23,35],"processing":[24,56,85],"these":[26],"UAVs,":[27],"it":[28,140],"introduces":[29],"a":[30,51,124,212,236],"significant":[31],"challenge:":[32],"balancing":[33],"low-delay":[34],"analysis":[36],"to":[37,49,53,82,135,141,184,191,240],"locate":[38],"survivors":[39],"against":[40],"the":[41,74,117,143,154,200],"UAVs\u2019":[42],"limited":[43],"battery":[44],"life.":[45],"This":[46,95,188,206],"paper":[47],"aims":[48],"propose":[50],"solution":[52],"minimize":[54,83],"task":[55,84,90],"delay":[57,86,177],"in":[58,171,221],"dynamic":[59],"rescue":[60],"environments":[61],"while":[62,182],"conserving":[63],"UAV":[64],"energy.":[65],"Design/methodology/approach":[66],"To":[67],"overcome":[68],"this":[69,71,137,233],"challenge,":[70],"study":[72,234],"proposes":[73],"multi-queue":[75],"Lyapunov-guided":[76],"deep":[77],"reinforcement":[78],"learning":[79],"(MQ-LyDRL)":[80],"method":[81,96],"by":[87,104,178,198],"jointly":[88],"optimizing":[89],"offloading":[91],"resource":[93],"allocation.":[94],"innovatively":[97],"integrates":[98],"Lyapunov":[99,106],"optimization":[100,121],"with":[101,228],"DRL.":[102],"Specifically,":[103],"constructing":[105],"functions":[107],"based":[108],"on":[109],"queue":[110],"stability":[111,170,226],"energy":[113,186],"constraints,":[114],"MQ-LyDRL":[115,162],"decomposes":[116],"complex":[118],"multistage":[119],"stochastic":[120],"problem":[122],"into":[123],"deterministic,":[125],"per-time-slot":[126],"subproblem.":[127],"An":[128],"adaptive":[129,229],"DRL":[130],"framework":[131,238],"is":[132,210],"then":[133],"employed":[134],"solve":[136],"subproblem,":[138],"enabling":[139],"learn":[142],"optimal":[144],"policy":[145],"decision-making":[148],"without":[149],"requiring":[150],"prior":[151],"knowledge":[152],"of":[153,203],"environment\u2019s":[155],"dynamics.":[156],"Findings":[157],"Extensive":[158],"simulations":[159],"demonstrate":[160],"that":[161],"significantly":[163],"outperforms":[164],"existing":[165],"methods.":[166],"It":[167],"maintains":[168],"operational":[169,201],"fluctuating":[172],"conditions":[173],"reduces":[175],"average":[176],"at":[179],"least":[180],"9.21%":[181],"adhering":[183],"an":[185],"budget.":[187],"reduction":[189],"translates":[190],"faster":[192],"data-to-decision":[193],"cycles,":[194],"accelerating":[195],"life-saving":[196],"interventions":[197],"extending":[199],"time":[202],"UAVs.":[204],"Originality/value":[205],"work\u2019s":[207],"primary":[208],"value":[209],"providing":[211],"blueprint":[213],"intelligent":[215],"efficient":[217],"systems":[220],"high-stakes":[222],"scenarios.":[223],"By":[224],"combining":[225],"theory":[227],"artificial":[230],"intelligence":[231],"(AI),":[232],"offers":[235],"practical":[237],"applicable":[239],"critical":[241],"missions":[242],"where":[243],"performance":[244],"reliability":[246],"nonnegotiable.":[248]},"counts_by_year":[],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-12-31T00:00:00"}