{"id":"https://openalex.org/W4392410958","doi":"https://doi.org/10.1109/cscn60443.2023.10453180","title":"On the Detection of Spectrum Irregularities through Deep Learning in Dense IoT architectures","display_name":"On the Detection of Spectrum Irregularities through Deep Learning in Dense IoT architectures","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4392410958","doi":"https://doi.org/10.1109/cscn60443.2023.10453180"},"language":"en","primary_location":{"id":"doi:10.1109/cscn60443.2023.10453180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn60443.2023.10453180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.1109/CSCN60443.2023.10453180","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075160883","display_name":"Katerina Kyriakou","orcid":null},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Katerina Kyriakou","raw_affiliation_strings":["University of Thessaly,Dept. of Electrical and Computer Engineering,Greece","Dept. of Electrical and Computer Engineering, University of Thessaly, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thessaly,Dept. of Electrical and Computer Engineering,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015232543","display_name":"Kostas Chounos","orcid":"https://orcid.org/0000-0002-0858-9222"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kostas Chounos","raw_affiliation_strings":["University of Thessaly,Dept. of Electrical and Computer Engineering,Greece","Dept. of Electrical and Computer Engineering, University of Thessaly, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thessaly,Dept. of Electrical and Computer Engineering,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003948566","display_name":"Thanasis Korakis","orcid":null},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Thanasis Korakis","raw_affiliation_strings":["University of Thessaly,Dept. of Electrical and Computer Engineering,Greece","Dept. of Electrical and Computer Engineering, University of Thessaly, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Thessaly,Dept. of Electrical and Computer Engineering,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":0.218,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51965941,"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":"100","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.6385999917984009,"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"}},"topics":[{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.6385999917984009,"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"}},{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.6197999715805054,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10320","display_name":"Neural Networks and Applications","score":0.557699978351593,"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/computer-science","display_name":"Computer science","score":0.7029589414596558},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6004238128662109},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.502382755279541},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4554829001426697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45240622758865356},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17907896637916565},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08478698134422302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029589414596558},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6004238128662109},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.502382755279541},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4554829001426697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45240622758865356},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17907896637916565},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08478698134422302},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cscn60443.2023.10453180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn60443.2023.10453180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:14864775","is_oa":true,"landing_page_url":"https://doi.org/10.1109/CSCN60443.2023.10453180","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"CSCN 2023, 2023 IEEE Conference on Standards for Communications and Networking (CSCN), 5-8 November 2023","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:14864775","is_oa":true,"landing_page_url":"https://doi.org/10.1109/CSCN60443.2023.10453180","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"CSCN 2023, 2023 IEEE Conference on Standards for Communications and Networking (CSCN), 5-8 November 2023","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W317436636","https://openalex.org/W1632911414","https://openalex.org/W2141559645","https://openalex.org/W2575239128","https://openalex.org/W2749604329","https://openalex.org/W2787836689","https://openalex.org/W2878405508","https://openalex.org/W2898961909","https://openalex.org/W3021829440","https://openalex.org/W3204268508","https://openalex.org/W4313334448","https://openalex.org/W4381487191"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"In":[0],"this":[1,55],"work,":[2,56],"a":[3,83,142],"novel":[4],"Deep":[5,117],"Learning":[6,11,119],"model":[7,84],"that":[8,85,110],"combines":[9],"Q":[10,118],"and":[12,17,29,63,91,129,144,159],"Neural":[13],"Networks":[14],"is":[15,23,50,57,65],"proposed":[16,21,80,116,148],"experimentally":[18],"evaluated.":[19],"The":[20,47,79,106],"scheme":[22],"developed":[24],"in":[25,40,54,76,131,161],"order":[26],"to":[27,122],"detect":[28],"tackle":[30],"the":[31,58,88,97,103,111,115,132,137,147],"effects":[32],"of":[33,43,102,114,163],"spectrum":[34],"anomalies,":[35],"which":[36,49,74],"are":[37],"unexpectedly":[38],"appeared":[39],"ultra-dense":[41],"Internet":[42],"Things":[44],"(IoT)":[45],"architectures.":[46],"protocol":[48],"taken":[51],"into":[52],"consideration":[53],"IEEE":[59],"802.11ah":[60],"(Wi-Fi":[61],"HaLow)":[62],"it":[64],"tested":[66],"under":[67],"strong":[68],"interference,":[69],"caused":[70],"between":[71],"wireless":[72,89],"links":[73],"transmit":[75],"non-overlapping":[77],"frequencies.":[78],"approach":[81],"trains":[82],"constantly":[86],"observes":[87],"environment":[90],"obtains":[92],"an":[93],"optimal":[94],"policy":[95],"for":[96],"transmission":[98,157],"time":[99],"parameter":[100],"re-configurations":[101],"participating":[104],"devices.":[105],"experimental":[107],"evaluation":[108],"showcases":[109],"proper":[112],"training":[113],"model,":[120],"leads":[121],"remarkable":[123],"increased":[124,156],"Packet":[125],"Delivery":[126],"Ratio":[127],"(PDR)":[128],"throughput":[130,145],"examined":[133],"scenarios.":[134],"Apart":[135],"from":[136],"improvements":[138],"(+35%)":[139],"observed":[140],"on":[141],"PDR":[143],"basis,":[146],"algorithm":[149],"also":[150],"achieves":[151],"overall":[152],"higher":[153],"channel":[154,164],"utilization,":[155],"opportunities,":[158],"fairness":[160],"terms":[162],"access.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2024-03-05T00:00:00"}