{"id":"https://openalex.org/W4401537809","doi":"https://doi.org/10.1109/epece63428.2024.00042","title":"The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments","display_name":"The Fusion of Deep Reinforcement Learning and Edge Computing for Real-time Monitoring and Control Optimization in IoT Environments","publication_year":2024,"publication_date":"2024-02-23","ids":{"openalex":"https://openalex.org/W4401537809","doi":"https://doi.org/10.1109/epece63428.2024.00042"},"language":"en","primary_location":{"id":"doi:10.1109/epece63428.2024.00042","doi":"https://doi.org/10.1109/epece63428.2024.00042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/epece63428.2024.00042","pdf_url":null,"source":{"id":"https://openalex.org/S7407107871","display_name":"International Conference on Energy and Power Engineering, Control Engineering (EPECE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 3rd International Conference on Energy and Power Engineering, Control Engineering (EPECE)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.07923","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100567097","display_name":"Jingyu Xu","orcid":"https://orcid.org/0009-0008-5005-4978","observed_orcids":["https://orcid.org/0009-0008-5005-4978"]},"institutions":[{"id":"https://openalex.org/I203172682","display_name":"Northern Arizona University","ror":"https://ror.org/0272j5188","country_code":"US","type":"education","lineage":["https://openalex.org/I203172682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyu Xu","raw_affiliation_strings":["Northern Arizona University,1900 S Knoles Dr,Flagstaff,Arizona,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northern Arizona University,1900 S Knoles Dr,Flagstaff,Arizona,USA","institution_ids":["https://openalex.org/I203172682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003845082","display_name":"Weixiang Wan","orcid":"https://orcid.org/0009-0008-6121-1342","observed_orcids":["https://orcid.org/0009-0008-6121-1342"]},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixiang Wan","raw_affiliation_strings":["University of Electronic Science Technology of China,Chengdu,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science Technology of China,Chengdu,China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111146490","display_name":"Linying Pan","orcid":"https://orcid.org/0009-0006-0220-5538","observed_orcids":["https://orcid.org/0009-0006-0220-5538"]},"institutions":[{"id":"https://openalex.org/I165075387","display_name":"Trine University","ror":"https://ror.org/038e0dv78","country_code":"US","type":"education","lineage":["https://openalex.org/I165075387"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Linying Pan","raw_affiliation_strings":["Trine university,Phoenix,Arizona,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Trine university,Phoenix,Arizona,USA","institution_ids":["https://openalex.org/I165075387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101863617","display_name":"Wenjian Sun","orcid":"https://orcid.org/0000-0003-4519-282X","observed_orcids":["https://orcid.org/0000-0003-4519-282X"]},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjian Sun","raw_affiliation_strings":["Yantai University,Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yantai University,Tokyo,Japan","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100751385","display_name":"Yuxiang Liu","orcid":"https://orcid.org/0000-0002-0885-8058","observed_orcids":["https://orcid.org/0000-0002-0885-8058","https://orcid.org/0009-0007-7088-877X"]},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxiang Liu","raw_affiliation_strings":["Northwestern University,Atlanta,Georgia,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University,Atlanta,Georgia,USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2358,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.97707672,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9970999956130981,"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":0.9970999956130981,"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/T10763","display_name":"Digital Transformation in Industry","score":0.000699999975040555,"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/T13038","display_name":"Internet of Things and AI","score":0.0003000000142492354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-reinforcement-learning","display_name":"deep reinforcement learning","score":0.9940000176429749},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":1.0},{"id":"https://openalex.org/keywords/industrial-internet-of-things","display_name":"Industrial Internet of Things","score":0.9160000085830688},{"id":"https://openalex.org/keywords/real-time-monitoring","display_name":"real-time monitoring","score":0.8360000252723694},{"id":"https://openalex.org/keywords/control-optimization","display_name":"control optimization","score":0.9539999961853027},{"id":"https://openalex.org/keywords/cloud-edge-collaboration","display_name":"cloud-edge collaboration","score":0.9929999709129333},{"id":"https://openalex.org/keywords/dynamic-resource-allocation","display_name":"dynamic resource allocation","score":0.8859999775886536},{"id":"https://openalex.org/keywords/communication-latency-reduction","display_name":"communication latency reduction","score":0.8989999890327454},{"id":"https://openalex.org/keywords/state-prediction","display_name":"state prediction","score":0.4309999942779541}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7839592695236206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702113926410675},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6281336545944214},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.609018087387085},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.591118335723877},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.49294614791870117},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.45604872703552246},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4453299939632416},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42491668462753296},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32365602254867554},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.190378338098526},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/epece63428.2024.00042","doi":"https://doi.org/10.1109/epece63428.2024.00042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/epece63428.2024.00042","pdf_url":null,"source":{"id":"https://openalex.org/S7407107871","display_name":"International Conference on Energy and Power Engineering, Control Engineering (EPECE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 3rd International Conference on Energy and Power Engineering, Control Engineering (EPECE)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2403.07923","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.07923","pdf_url":"https://arxiv.org/pdf/2403.07923","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.07923","doi":"https://doi.org/10.48550/arxiv.2403.07923","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.07923","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.07923","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.07923","pdf_url":"https://arxiv.org/pdf/2403.07923","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":1.0,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401537809.pdf","grobid_xml":"https://content.openalex.org/works/W4401537809.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W3110101394","https://openalex.org/W3118569061","https://openalex.org/W3118929245","https://openalex.org/W3133996796","https://openalex.org/W3198482711","https://openalex.org/W4289223099","https://openalex.org/W4297095232","https://openalex.org/W4379116362","https://openalex.org/W4388043509","https://openalex.org/W4388043519"],"related_works":["https://openalex.org/W7164553919","https://openalex.org/W7130735405","https://openalex.org/W7164859345","https://openalex.org/W4412870542","https://openalex.org/W7162468477","https://openalex.org/W4413131914","https://openalex.org/W7160720986","https://openalex.org/W4388340723","https://openalex.org/W7123337728","https://openalex.org/W7223248947"],"abstract_inverted_index":{"In":[0],"response":[1,91],"to":[2,70,92],"the":[3,43],"demand":[4],"for":[5,107],"real-time":[6,114],"performance":[7],"and":[8,30,48,57,104,110,115],"control":[9,23],"quality":[10],"in":[11],"industrial":[12,60],"Internet":[13],"of":[14,59,74],"Things":[15],"(IoT)":[16],"environments,":[17],"this":[18,84],"paper":[19],"proposes":[20],"an":[21],"optimization":[22,58],"system":[24,34,46,96],"based":[25],"on":[26],"deep":[27],"reinforcement":[28],"learning":[29],"edge":[31,75],"computing.":[32],"The":[33],"leverages":[35],"cloud-edge":[36,87],"collaboration,":[37],"deploys":[38],"lightweight":[39],"policy":[40],"networks":[41],"at":[42,51],"edge,":[44],"predicts":[45],"states,":[47],"outputs":[49],"controls":[50],"a":[52,63],"high":[53],"frequency,":[54],"enabling":[55],"monitoring":[56],"objectives.":[61],"Additionally,":[62],"dynamic":[64],"resource":[65],"allocation":[66],"mechanism":[67],"is":[68],"designed":[69],"ensure":[71],"rational":[72],"scheduling":[73],"computing":[76],"resources,":[77],"achieving":[78],"global":[79],"optimization.":[80],"Results":[81],"demonstrate":[82],"that":[83],"approach":[85],"reduces":[86,95],"communication":[88],"latency,":[89],"accelerates":[90],"abnormal":[93],"situations,":[94],"failure":[97],"rates,":[98],"extends":[99],"average":[100],"equipment":[101],"operating":[102],"time,":[103],"saves":[105],"costs":[106],"manual":[108],"maintenance":[109],"replacement.":[111],"This":[112],"ensures":[113],"stable":[116],"control.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2024-08-14T00:00:00"}