{"id":"https://openalex.org/W7123352162","doi":"https://doi.org/10.1109/tce.2026.3653432","title":"Digital Twin Temporal Resource Allocation and Control Framework for IoT Networks Using TD3-LSTM","display_name":"Digital Twin Temporal Resource Allocation and Control Framework for IoT Networks Using TD3-LSTM","publication_year":2026,"publication_date":"2026-01-12","ids":{"openalex":"https://openalex.org/W7123352162","doi":"https://doi.org/10.1109/tce.2026.3653432"},"language":null,"primary_location":{"id":"doi:10.1109/tce.2026.3653432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2026.3653432","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","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/A5030935673","display_name":"Durga Shankar Baggam","orcid":"https://orcid.org/0000-0002-4478-3516"},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Durga Shankar Baggam","raw_affiliation_strings":["Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India","institution_ids":["https://openalex.org/I74319210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121076162","display_name":"Shalli Rani","orcid":null},"institutions":[{"id":"https://openalex.org/I74319210","display_name":"Chitkara University","ror":"https://ror.org/057d6z539","country_code":"IN","type":"education","lineage":["https://openalex.org/I74319210"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shalli Rani","raw_affiliation_strings":["Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India"],"raw_orcid":"https://orcid.org/0000-0002-8474-9435","affiliations":[{"raw_affiliation_string":"Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India","institution_ids":["https://openalex.org/I74319210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74319210"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03966085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"2","first_page":"4540","last_page":"4548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.2563000023365021,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10763","display_name":"Digital Transformation in Industry","score":0.2563000023365021,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10714","display_name":"Software-Defined Networks and 5G","score":0.17190000414848328,"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":0.11060000211000443,"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":0.6287000179290771},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.623199999332428},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5199000239372253},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4767000079154968},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4244999885559082},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4090999960899353},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.39399999380111694},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.39329999685287476},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.37779998779296875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724399983882904},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6287000179290771},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.623199999332428},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5199000239372253},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.478300005197525},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4244999885559082},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40450000762939453},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.3693000078201294},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.359499990940094},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.33059999346733093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32260000705718994},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.2888999879360199},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.2718000113964081},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2026.3653432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2026.3653432","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"Digital":[1,41],"Twin":[2,42,81],"(DT)":[3],"system":[4],"serves":[5],"as":[6,25,70],"a":[7,49,71,89,106,133,153],"simulation":[8],"tool":[9],"designed":[10],"to":[11,95,100,124,149],"enhance":[12],"the":[13,40,80,101,138],"performance":[14,62,121],"of":[15,103,130,135,145],"real-time":[16],"systems":[17],"that":[18],"are":[19,68],"synchronized":[20],"with":[21,88,113,127],"digital":[22],"twins,":[23],"such":[24],"smart":[26,30],"cities,":[27],"autonomous":[28],"vehicles,":[29],"industries,":[31],"and":[32,46,56,63,98,132],"other":[33],"applicable":[34],"adaptive":[35],"scenarios.":[36],"This":[37],"paper":[38],"introduces":[39],"Temporal":[43],"Resource":[44],"Allocation":[45],"Control":[47],"(DT-TRAC),":[48],"hybrid":[50],"framework":[51,78,118],"grounded":[52],"in":[53,105,156],"deep":[54],"learning":[55],"reinforcement":[57],"learning,":[58],"aimed":[59],"at":[60],"enhancing":[61],"optimizing":[64],"IoT":[65],"networks,":[66],"which":[67],"formulated":[69],"Markov":[72],"decision":[73],"process":[74],"(MDP).":[75],"The":[76,116],"proposed":[77,117,139,150],"integrates":[79],"Delayed":[82],"Deep":[83],"Deterministic":[84],"Policy":[85],"Gradient":[86],"(TD3)":[87],"Long":[90],"Short-Term":[91],"Memory":[92],"(LSTM)":[93],"network":[94],"accurately":[96],"predict":[97],"adapt":[99],"dynamics":[102],"networks":[104],"partially":[107],"observable":[108],"environment,":[109],"thereby":[110],"reducing":[111],"latency":[112,134],"improved":[114,120],"performance.":[115],"demonstrated":[119],"metrics":[122],"compared":[123],"baseline":[125,148],"approaches":[126],"an":[128,142],"accuracy":[129,143],"95.5%":[131],"19.5%.":[136],"However,":[137],"model":[140,151],"exhibits":[141],"enhancement":[144],"27%,":[146],"from":[147],"representing":[152],"significant":[154],"advancement":[155],"dynamic":[157],"environments":[158],"using":[159],"classification":[160],"method":[161],"on":[162],"continuous":[163],"control":[164],"variables.":[165]},"counts_by_year":[],"updated_date":"2026-06-09T06:18:44.609144","created_date":"2026-01-14T00:00:00"}
