{"id":"https://openalex.org/W4404740958","doi":"https://doi.org/10.1109/isncc62547.2024.10759064","title":"Ontology-Based Reinforcement Learning for Semantic Offloading in MEC-Enabled 6G IoT Networks","display_name":"Ontology-Based Reinforcement Learning for Semantic Offloading in MEC-Enabled 6G IoT Networks","publication_year":2024,"publication_date":"2024-10-22","ids":{"openalex":"https://openalex.org/W4404740958","doi":"https://doi.org/10.1109/isncc62547.2024.10759064"},"language":"en","primary_location":{"id":"doi:10.1109/isncc62547.2024.10759064","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isncc62547.2024.10759064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040897068","display_name":"Eric Gyamfi","orcid":"https://orcid.org/0000-0002-0744-4208"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Eric Gyamfi","raw_affiliation_strings":["School of Computer Science, University College,Dublin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College,Dublin","institution_ids":["https://openalex.org/I100930933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090435718","display_name":"James Adu Ansere","orcid":"https://orcid.org/0000-0002-6070-9316"},"institutions":[{"id":"https://openalex.org/I4210164771","display_name":"Sunyani Technical University","ror":"https://ror.org/05sc3yb31","country_code":"GH","type":"education","lineage":["https://openalex.org/I4210164771"]}],"countries":["GH"],"is_corresponding":false,"raw_author_name":"James Adu Ansere","raw_affiliation_strings":["Sunyani Technical University,Department of Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sunyani Technical University,Department of Electrical Engineering","institution_ids":["https://openalex.org/I4210164771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088174565","display_name":"Fatemeh Golpayegani","orcid":"https://orcid.org/0000-0002-3712-6550"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Fatemeh Golpayegani","raw_affiliation_strings":["School of Computer Science, University College,Dublin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College,Dublin","institution_ids":["https://openalex.org/I100930933"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.961899995803833,"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":0.961899995803833,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9490000009536743,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9322999715805054,"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":0.8265278339385986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8179616928100586},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7982447147369385},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6257809400558472},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.37159663438796997},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3628924787044525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31605109572410583},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23584750294685364}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8265278339385986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8179616928100586},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7982447147369385},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6257809400558472},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.37159663438796997},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3628924787044525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31605109572410583},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23584750294685364},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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":1,"locations":[{"id":"doi:10.1109/isncc62547.2024.10759064","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/isncc62547.2024.10759064","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2946071132","https://openalex.org/W2969003630","https://openalex.org/W3190746070","https://openalex.org/W3198139956","https://openalex.org/W3209869398","https://openalex.org/W4206945668","https://openalex.org/W4226343570","https://openalex.org/W4285117827","https://openalex.org/W4306742378","https://openalex.org/W4316042033","https://openalex.org/W4317419378","https://openalex.org/W4317794990","https://openalex.org/W4319303157","https://openalex.org/W4320912725","https://openalex.org/W4360770953","https://openalex.org/W4377079722","https://openalex.org/W4380906017","https://openalex.org/W4385452934","https://openalex.org/W4387145966"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W4306904969","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W2138720691","https://openalex.org/W4362501864"],"abstract_inverted_index":{"The":[0,69,98],"proliferation":[1],"of":[2,37],"ultra-low-latency":[3],"and":[4,39,65,80,95,108],"faster":[5],"convergence":[6],"applications":[7],"in":[8,56,104],"sixth-generation":[9],"(6G)":[10],"networks":[11],"necessitates":[12],"mobile":[13],"edge":[14],"computing":[15],"(MEC)":[16],"for":[17,51],"offloading":[18,31,54,88,113],"computationally":[19],"intensive":[20],"tasks":[21,38],"from":[22],"user":[23,96],"devices":[24],"to":[25,90,111],"the":[26,34],"network":[27,63],"edge.":[28],"However,":[29],"traditional":[30,112],"approaches":[32],"ignore":[33],"semantic":[35,53],"aspects":[36],"resources.":[40],"This":[41],"paper":[42],"proposes":[43],"a":[44,74],"novel":[45],"ontology-based":[46],"reinforcement":[47],"learning":[48,76],"(ORL)":[49],"approach":[50,72],"optimal":[52],"decisions":[55,89],"evolving":[57],"dynamic":[58,75],"MEC-enabled":[59],"6G":[60],"networks,":[61],"considering":[62],"uncertainty":[64],"time":[66],"variation":[67],"conditions.":[68],"proposed":[70],"ORL":[71],"integrates":[73],"mechanism":[77],"that":[78],"adjusts":[79],"captures":[81],"semantics":[82],"task":[83,92],"resources,":[84],"enabling":[85],"adaptive":[86],"real-time":[87],"satisfy":[91],"processing":[93],"requirements":[94],"demands.":[97],"numerical":[99],"results":[100],"demonstrate":[101],"significant":[102],"improvements":[103],"latency":[105],"reduction,":[106],"responsiveness,":[107],"adaptability":[109],"compared":[110],"approaches.":[114]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}