{"id":"https://openalex.org/W4283380223","doi":"https://doi.org/10.3390/s22134727","title":"Fuzzy-Assisted Mobile Edge Orchestrator and SARSA Learning for Flexible Offloading in Heterogeneous IoT Environment","display_name":"Fuzzy-Assisted Mobile Edge Orchestrator and SARSA Learning for Flexible Offloading in Heterogeneous IoT Environment","publication_year":2022,"publication_date":"2022-06-23","ids":{"openalex":"https://openalex.org/W4283380223","doi":"https://doi.org/10.3390/s22134727","pmid":"https://pubmed.ncbi.nlm.nih.gov/35808224"},"language":"en","primary_location":{"id":"doi:10.3390/s22134727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134727","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4727/pdf?version=1655967479","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/13/4727/pdf?version=1655967479","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026770755","display_name":"Tran Trong Khanh","orcid":"https://orcid.org/0000-0003-2329-5385"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tran Trong Khanh","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin 17104, Korea"],"raw_orcid":"https://orcid.org/0000-0003-2329-5385","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin 17104, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083049979","display_name":"Tran Hoang Hai","orcid":"https://orcid.org/0000-0002-7671-4451"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tran Hoang Hai","raw_affiliation_strings":["School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi 100000, Vietnam"],"raw_orcid":"https://orcid.org/0000-0002-7671-4451","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi 100000, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086225474","display_name":"Md. Delowar Hossain","orcid":"https://orcid.org/0000-0002-6080-9720"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Md. Delowar Hossain","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin 17104, Korea"],"raw_orcid":"https://orcid.org/0000-0002-6080-9720","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin 17104, Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000263913","display_name":"Eui\u2010Nam Huh","orcid":"https://orcid.org/0000-0003-0184-6975"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eui-Nam Huh","raw_affiliation_strings":["Department of Computer Science and Engineering, Kyung Hee University, Yongin 17104, Korea"],"raw_orcid":"https://orcid.org/0000-0003-0184-6975","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kyung Hee University, Yongin 17104, Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000263913"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.9108,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73528803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"22","issue":"13","first_page":"4727","last_page":"4727"},"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":0.9894999861717224,"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":0.9857000112533569,"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/computer-science","display_name":"Computer science","score":0.8113338947296143},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6805025935173035},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6706040501594543},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6485074162483215},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6019870638847351},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5828717947006226},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.576311469078064},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5591428875923157},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5442550182342529},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.5148986577987671},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5070183277130127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13436007499694824},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09554970264434814}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8113338947296143},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6805025935173035},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6706040501594543},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6485074162483215},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6019870638847351},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5828717947006226},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.576311469078064},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5591428875923157},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5442550182342529},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5148986577987671},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5070183277130127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13436007499694824},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09554970264434814}],"mesh":[{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000080487","descriptor_name":"Internet of Things","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22134727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134727","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4727/pdf?version=1655967479","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35808224","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35808224","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9269038","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9269038","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:ea3884518ef343a6a0655e0ea9723e50","is_oa":true,"landing_page_url":"https://doaj.org/article/ea3884518ef343a6a0655e0ea9723e50","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":"Sensors, Vol 22, Iss 13, p 4727 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/13/4727/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22134727","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 13; Pages: 4727","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22134727","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22134727","pdf_url":"https://www.mdpi.com/1424-8220/22/13/4727/pdf?version=1655967479","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4283380223.pdf","grobid_xml":"https://content.openalex.org/works/W4283380223.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W127821722","https://openalex.org/W1571468068","https://openalex.org/W1975432511","https://openalex.org/W2032521963","https://openalex.org/W2046780158","https://openalex.org/W2052816977","https://openalex.org/W2094018187","https://openalex.org/W2112041412","https://openalex.org/W2112084485","https://openalex.org/W2116436884","https://openalex.org/W2120398332","https://openalex.org/W2480083017","https://openalex.org/W2482293012","https://openalex.org/W2511425482","https://openalex.org/W2521876175","https://openalex.org/W2591960928","https://openalex.org/W2594560857","https://openalex.org/W2607487825","https://openalex.org/W2615459164","https://openalex.org/W2618413983","https://openalex.org/W2746016708","https://openalex.org/W2768269722","https://openalex.org/W2768475350","https://openalex.org/W2769686021","https://openalex.org/W2790284307","https://openalex.org/W2806506455","https://openalex.org/W2895973886","https://openalex.org/W2901283737","https://openalex.org/W2903048205","https://openalex.org/W2904994737","https://openalex.org/W2906687478","https://openalex.org/W2916723923","https://openalex.org/W2917483248","https://openalex.org/W2930306639","https://openalex.org/W2939138533","https://openalex.org/W2962853033","https://openalex.org/W2964015972","https://openalex.org/W2971559009","https://openalex.org/W2975241278","https://openalex.org/W2982570102","https://openalex.org/W2998493821","https://openalex.org/W2998546664","https://openalex.org/W3006372726","https://openalex.org/W3010723141","https://openalex.org/W3012217120","https://openalex.org/W3021500380","https://openalex.org/W3023635736","https://openalex.org/W3024671279","https://openalex.org/W3041510570","https://openalex.org/W3048671074","https://openalex.org/W3088421704","https://openalex.org/W3105504538","https://openalex.org/W3109262928","https://openalex.org/W3110396179","https://openalex.org/W3132502275","https://openalex.org/W3134556557","https://openalex.org/W3158998940","https://openalex.org/W3184322752","https://openalex.org/W3195494610","https://openalex.org/W3197284684","https://openalex.org/W3199946531","https://openalex.org/W4210312870","https://openalex.org/W4243040688","https://openalex.org/W4255486441","https://openalex.org/W4280605831","https://openalex.org/W4285130686","https://openalex.org/W6713329464","https://openalex.org/W6748560210","https://openalex.org/W6752725515","https://openalex.org/W6761141965","https://openalex.org/W6801023568"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4361251304","https://openalex.org/W2902693277","https://openalex.org/W4378977105","https://openalex.org/W3139051647","https://openalex.org/W3024547383","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W4322761281","https://openalex.org/W2968424451"],"abstract_inverted_index":{"In":[0],"the":[1,66,75,87,101,123,151,158,169,184,190,206,226,232],"era":[2],"of":[3,8,30,46,68,78,89,164,222],"heterogeneous":[4],"5G":[5],"networks,":[6],"Internet":[7],"Things":[9],"(IoT)":[10],"devices":[11,26],"have":[12,94,111],"significantly":[13],"altered":[14],"our":[15,213],"daily":[16],"life":[17],"by":[18],"providing":[19],"innovative":[20],"applications":[21],"and":[22,33,42,58,71,143,161,166,200,225],"services.":[23],"However,":[24],"these":[25],"process":[27],"large":[28],"amounts":[29],"data":[31],"traffic":[32],"their":[34],"application":[35,195],"requires":[36],"an":[37],"extremely":[38],"fast":[39],"response":[40],"time":[41,163,224],"a":[43,51,133,137,177],"massive":[44],"amount":[45],"computational":[47,106],"resources,":[48],"leading":[49,115],"to":[50,62,74,116,156],"high":[52],"failure":[53,159,228],"rate":[54,160],"for":[55,173,205],"task":[56,83,227],"offloading":[57,84],"considerable":[59],"latency":[60],"due":[61,73],"congestion.":[63],"To":[64],"improve":[65],"quality":[67],"services":[69],"(QoS)":[70],"performance":[72,209],"dynamic":[76],"flow":[77],"requests":[79],"from":[80],"devices,":[81],"numerous":[82],"strategies":[85],"in":[86,97,109,122,128,189,220],"area":[88],"multi-access":[90],"edge":[91,103,120,140,179,187],"computing":[92],"(MEC)":[93],"been":[95,113],"proposed":[96,214],"previous":[98],"studies.":[99],"Nevertheless,":[100],"neighboring":[102,186],"servers,":[104],"where":[105],"resources":[107],"are":[108],"excess,":[110],"not":[112],"considered,":[114],"unbalanced":[117],"loads":[118],"among":[119],"servers":[121],"same":[124],"network":[125],"tier.":[126],"Therefore,":[127],"this":[129],"paper,":[130],"we":[131,149],"propose":[132],"collaboration":[134],"algorithm":[135],"between":[136],"fuzzy-logic-based":[138],"mobile":[139],"orchestrator":[141],"(MEO)":[142],"state-action-reward-state-action":[144],"(SARSA)":[145],"reinforcement":[146],"learning,":[147],"which":[148],"call":[150],"Fu-SARSA":[152,215],"algorithm.":[153],"We":[154],"aim":[155],"minimize":[157],"service":[162,223],"tasks":[165],"decide":[167],"on":[168],"optimal":[170],"resource":[171],"allocation":[172],"offloading,":[174],"such":[175],"as":[176],"local":[178],"server,":[180,182],"cloud":[181],"or":[183],"best":[185],"server":[188],"MEC":[191],"network.":[192],"Four":[193],"typical":[194],"types,":[196],"healthcare,":[197],"AR,":[198],"infotainment,":[199],"compute-intensive":[201],"applications,":[202],"were":[203],"used":[204],"simulation.":[207],"The":[208],"results":[210],"demonstrate":[211],"that":[212],"framework":[216],"outperformed":[217],"other":[218],"algorithms":[219],"terms":[221],"rate,":[229],"especially":[230],"when":[231],"system":[233],"was":[234],"overloaded.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}