{"id":"https://openalex.org/W4390874745","doi":"https://doi.org/10.1109/gcaiot61060.2023.10385131","title":"AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT","display_name":"AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4390874745","doi":"https://doi.org/10.1109/gcaiot61060.2023.10385131"},"language":"en","primary_location":{"id":"doi:10.1109/gcaiot61060.2023.10385131","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcaiot61060.2023.10385131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.13325","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087727756","display_name":"Hossam Farag","orcid":"https://orcid.org/0000-0002-1023-9694"},"institutions":[{"id":"https://openalex.org/I86310350","display_name":"Aswan University","ror":"https://ror.org/048qnr849","country_code":"EG","type":"education","lineage":["https://openalex.org/I86310350"]},{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK","EG"],"is_corresponding":false,"raw_author_name":"Hossam Farag","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Denmark","Department of Electrical Engineering, Aswan University, Egypt","Department of Electronic Systems, Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Department of Electrical Engineering, Aswan University, Egypt","institution_ids":["https://openalex.org/I86310350"]},{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030466993","display_name":"Mohamed Ragab","orcid":"https://orcid.org/0000-0002-2138-4395"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I86310350","display_name":"Aswan University","ror":"https://ror.org/048qnr849","country_code":"EG","type":"education","lineage":["https://openalex.org/I86310350"]}],"countries":["EG","SG"],"is_corresponding":false,"raw_author_name":"Mohamed Ragab","raw_affiliation_strings":["Agency for Science Technology and Research (A*STAR),Centre for Frontier AI Research,Singapore","Centre for Frontier AI Research, Agency for Science Technology and Research (A*STAR), Singapore","Department of Electrical Engineering, Aswan University, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agency for Science Technology and Research (A*STAR),Centre for Frontier AI Research,Singapore","institution_ids":["https://openalex.org/I115228651"]},{"raw_affiliation_string":"Centre for Frontier AI Research, Agency for Science Technology and Research (A*STAR), Singapore","institution_ids":["https://openalex.org/I115228651"]},{"raw_affiliation_string":"Department of Electrical Engineering, Aswan University, Egypt","institution_ids":["https://openalex.org/I86310350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054388477","display_name":"\u010cedomir Stefanovi\u0107","orcid":"https://orcid.org/0000-0002-9361-2908"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"\u010cedomir Stefanovi\u0107","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Denmark","Department of Electronic Systems, Aalborg University, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3464,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52241896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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/T13553","display_name":"Age of Information Optimization","score":1.0,"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":0.9807000160217285,"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"}},{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9592999815940857,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7087187767028809},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6152262687683105},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5961410999298096},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5827203989028931},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5198398232460022},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43439921736717224},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43380671739578247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4269621968269348},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41182124614715576},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3715023994445801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3447551131248474},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34372952580451965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14622828364372253},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11675271391868591}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087187767028809},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6152262687683105},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5961410999298096},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5827203989028931},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5198398232460022},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43439921736717224},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43380671739578247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4269621968269348},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41182124614715576},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3715023994445801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3447551131248474},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34372952580451965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14622828364372253},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11675271391868591},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/gcaiot61060.2023.10385131","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/gcaiot61060.2023.10385131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/522eb5be-b5ec-4172-89df-47060978cb3a","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/522eb5be-b5ec-4172-89df-47060978cb3a","pdf_url":"https://arxiv.org/pdf/2311.13325","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"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":"Farag, H, Ragab, M & Stefanovic, C 2023, AA-DL : AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT. in 2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). IEEE (Institute of Electrical and Electronics Engineers), pp. 127-133, 2023 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2023, Dubai, United Arab Emirates, 10/12/2023. https://doi.org/10.1109/GCAIoT61060.2023.10385131","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/522eb5be-b5ec-4172-89df-47060978cb3a","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/522eb5be-b5ec-4172-89df-47060978cb3a","pdf_url":"https://arxiv.org/pdf/2311.13325","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"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":"Farag, H, Ragab, M & Stefanovic, C 2023, AA-DL : AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT. in 2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). IEEE (Institute of Electrical and Electronics Engineers), pp. 127-133, 2023 IEEE Global Conference on Artificial Intelligence and Internet of Things, GCAIoT 2023, Dubai, United Arab Emirates, 10/12/2023. https://doi.org/10.1109/GCAIoT61060.2023.10385131","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G343134179","display_name":"Smart integrated extreme environment health monitor with sensory feedback for enhanced situation awareness","funder_award_id":"883315","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390874745.pdf","grobid_xml":"https://content.openalex.org/works/W4390874745.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1919404870","https://openalex.org/W2102700904","https://openalex.org/W2125299328","https://openalex.org/W2596636257","https://openalex.org/W2744248483","https://openalex.org/W2752845512","https://openalex.org/W2762579166","https://openalex.org/W2885828982","https://openalex.org/W2906199090","https://openalex.org/W2915151495","https://openalex.org/W2917981112","https://openalex.org/W2921224230","https://openalex.org/W2946628599","https://openalex.org/W2986074108","https://openalex.org/W2997484716","https://openalex.org/W3007745140","https://openalex.org/W3032904648","https://openalex.org/W3043590738","https://openalex.org/W3101422709","https://openalex.org/W3131845990","https://openalex.org/W3133592136","https://openalex.org/W3204234466","https://openalex.org/W4210585014","https://openalex.org/W4220712038","https://openalex.org/W4379800426"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2149245348"],"abstract_inverted_index":{"In":[0,25,78],"real-time":[1],"Industrial":[2],"Internet":[3],"of":[4,14,41,142,147,160],"Things":[5],"(IIoT),":[6],"e.g.,":[7],"monitoring":[8],"and":[9,23,54,61],"control":[10],"scenarios,":[11],"the":[12,20,38,51,55,67,71,82,95,117,124,140,148,158,166,179],"freshness":[13],"data":[15],"is":[16,114,128,151],"crucial":[17],"to":[18,36,69,80,104,164,170],"maintain":[19],"system":[21],"functionality":[22],"stability.":[24],"this":[26],"paper,":[27],"we":[28,49,86],"propose":[29],"an":[30,63],"AoI-Aware":[31],"Deep":[32],"Learning":[33],"(AA-DL)":[34],"approach":[35],"minimize":[37],"Peak":[39],"Age":[40],"Information":[42,98],"(PAoI)":[43],"in":[44,120],"D2D-assisted":[45],"IIoT":[46],"networks.":[47,111],"Particularly,":[48],"analyzed":[50],"success":[52],"probability":[53],"average":[56],"PAoI":[57,167],"via":[58,153],"stochastic":[59],"geometry,":[60],"formulate":[62],"optimization":[64,182],"problem":[65],"with":[66,101],"objective":[68],"find":[70],"optimal":[72],"scheduling":[73,84],"policy":[74],"that":[75,93,119,156],"minimizes":[76],"PAoI.":[77],"order":[79],"solve":[81],"non-convex":[83],"problem,":[85],"develop":[87],"a":[88,171],"Neural":[89],"Network":[90],"(NN)":[91],"structure":[92],"exploits":[94],"Geographic":[96],"Location":[97],"(GLI)":[99],"along":[100],"feedback":[102],"stages":[103],"perform":[105],"unsupervised":[106],"learning":[107],"over":[108],"randomly":[109],"deployed":[110],"Our":[112],"motivation":[113],"based":[115],"on":[116],"observation":[118],"various":[121],"transmission":[122],"contexts,":[123],"wireless":[125],"channel":[126],"intensity":[127],"mainly":[129],"influenced":[130],"by":[131],"distance-dependant":[132],"path":[133],"loss,":[134],"which":[135],"could":[136],"be":[137],"calculated":[138],"using":[139],"GLI":[141],"each":[143],"link.":[144],"The":[145],"performance":[146,168],"AA-DL":[149],"method":[150,163],"evaluated":[152],"numerical":[154],"results":[155],"demonstrate":[157],"effectiveness":[159],"our":[161],"proposed":[162],"improve":[165],"compared":[169],"recent":[172],"benchmark":[173],"while":[174],"maintains":[175],"lower":[176],"complexity":[177],"against":[178],"conventional":[180],"iterative":[181],"method.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2025-10-10T00:00:00"}
