{"id":"https://openalex.org/W4414265919","doi":"https://doi.org/10.1109/tcomm.2025.3610171","title":"Data Sourcing Random Access Using Semantic Queries for Massive IoT Scenarios","display_name":"Data Sourcing Random Access Using Semantic Queries for Massive IoT Scenarios","publication_year":2025,"publication_date":"2025-09-16","ids":{"openalex":"https://openalex.org/W4414265919","doi":"https://doi.org/10.1109/tcomm.2025.3610171"},"language":"en","primary_location":{"id":"doi:10.1109/tcomm.2025.3610171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3610171","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/da/publications/27b2f906-04cb-40d9-ace3-a22e95d4c472","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073062583","display_name":"Anders E. Kal\u00f8r","orcid":"https://orcid.org/0000-0003-4096-2389"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Anders E. Kal\u00f8r","raw_affiliation_strings":["Department of Information and Computer Science, Keio University, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Science, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071289803","display_name":"Petar Popovski","orcid":"https://orcid.org/0000-0001-6195-4797"},"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":"Petar Popovski","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Aalborg, Denmark"],"raw_orcid":"https://orcid.org/0000-0001-6195-4797","affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007131492","display_name":"Kaibin Huang","orcid":"https://orcid.org/0000-0001-8773-4629"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kaibin Huang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong","Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-8773-4629","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25964293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":"12","first_page":"14381","last_page":"14396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9908000230789185,"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":0.9908000230789185,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9164000153541565,"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/inference","display_name":"Inference","score":0.6105999946594238},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5314000248908997},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5151000022888184},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4537000060081482},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4494999945163727},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.4458000063896179},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.4422999918460846},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.4327000081539154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8738999962806702},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6105999946594238},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5314000248908997},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5151000022888184},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4537000060081482},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4494999945163727},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.4458000063896179},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.4327000081539154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4318999946117401},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36970001459121704},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C12269588","wikidata":"https://www.wikidata.org/wiki/Q132364","display_name":"Communications protocol","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27250000834465027},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2583000063896179},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcomm.2025.3610171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcomm.2025.3610171","pdf_url":null,"source":{"id":"https://openalex.org/S196647941","display_name":"IEEE Transactions on Communications","issn_l":"0090-6778","issn":["0090-6778","1558-0857"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Communications","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/27b2f906-04cb-40d9-ace3-a22e95d4c472","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/27b2f906-04cb-40d9-ace3-a22e95d4c472","pdf_url":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kal\u00f8r, A E, Popovski, P & Huang, K 2025, 'Data Sourcing Random Access using Semantic Queries for Massive IoT Scenarios', IEEE Transactions on Communications, vol. 73, no. 12, pp. 14381-14396. https://doi.org/10.1109/TCOMM.2025.3610171","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/27b2f906-04cb-40d9-ace3-a22e95d4c472","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/27b2f906-04cb-40d9-ace3-a22e95d4c472","pdf_url":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kal\u00f8r, A E, Popovski, P & Huang, K 2025, 'Data Sourcing Random Access using Semantic Queries for Massive IoT Scenarios', IEEE Transactions on Communications, vol. 73, no. 12, pp. 14381-14396. https://doi.org/10.1109/TCOMM.2025.3610171","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3070414533","display_name":null,"funder_award_id":"SGDX20230821091559018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5188290483","display_name":"\u77e5\u7684\u74b0\u5883\u306e\u305f\u3081\u306e\u30bb\u30f3\u30b7\u30f3\u30b0\u30fb\u30a2\u30af\u30c1\u30e5\u30a8\u30fc\u30b7\u30e7\u30f3\u30fb\u901a\u4fe1\u53ca\u3073\u77e5\u7684\u4fe1\u53f7\u51e6\u7406\u57fa\u76e4\u306b\u95a2\u3059\u308b\u7814\u7a76","funder_award_id":"JPMJAP2326","funder_id":"https://openalex.org/F4320334789","funder_display_name":"Japan Science and Technology Agency"},{"id":"https://openalex.org/G6716631610","display_name":null,"funder_award_id":"1056-00006B","funder_id":"https://openalex.org/F4320322928","funder_display_name":"Danmarks Frie Forskningsfond"},{"id":"https://openalex.org/G8519647467","display_name":null,"funder_award_id":"JPMJAP2326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G943081438","display_name":"6G Goal-Oriented AI-enabled Learning and Semantic Communication Networks","funder_award_id":"101139232","funder_id":"https://openalex.org/F4320338444","funder_display_name":"HORIZON EUROPE Digital, Industry and Space"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322928","display_name":"Danmarks Frie Forskningsfond","ror":"https://ror.org/02sptwz63"},{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"},{"id":"https://openalex.org/F4320338444","display_name":"HORIZON EUROPE Digital, Industry and Space","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Efficiently":[0],"retrieving":[1],"relevant":[2,96,130],"data":[3,29,60,97,100,191],"from":[4],"massive":[5,194],"Internet":[6],"of":[7,95,129,182],"Things":[8],"(IoT)":[9],"networks":[10],"is":[11,42,165],"essential":[12],"for":[13,76,149,188],"downstream":[14],"tasks":[15],"such":[16],"as":[17],"machine":[18],"learning.":[19],"This":[20],"paper":[21],"addresses":[22],"this":[23,86,111],"challenge":[24],"by":[25,66],"proposing":[26],"a":[27,48,71,89,114,143,173],"novel":[28],"sourcing":[30,192],"protocol":[31,134,164],"that":[32,43,58,161],"combines":[33],"semantic":[34,49,122,189],"queries":[35],"and":[36,55,98,119,135,171,179],"random":[37,73,169],"access.":[38],"The":[39,133],"key":[40],"idea":[41],"the":[44,52,56,62,83,93,106,121,127,136,162,180],"destination":[45],"node":[46],"broadcasts":[47],"query":[50,63],"describing":[51],"desired":[53],"information,":[54],"sensors":[57],"have":[59],"matching":[61,123],"then":[64,139],"respond":[65],"transmitting":[67],"their":[68],"observations":[69],"over":[70],"shared":[72,107],"access":[74],"channel,":[75],"example":[77],"to":[78,103,125,141,167],"perform":[79],"joint":[80],"inference":[81,177],"at":[82],"destination.":[84],"However,":[85],"approach":[87],"introduces":[88],"tradeoff":[90,112],"between":[91,176],"maximizing":[92],"retrieval":[94],"minimizing":[99],"loss":[101],"due":[102],"collisions":[104],"on":[105],"channel.":[108],"We":[109],"analyze":[110],"under":[113],"tractable":[115],"Gaussian":[116],"mixture":[117],"model":[118,148],"optimize":[120],"threshold":[124],"maximize":[126],"number":[128],"retrieved":[131],"observations.":[132],"analysis":[137],"are":[138],"extended":[140],"handle":[142],"more":[144],"realistic":[145],"neural":[146],"network-based":[147],"complex":[150],"sensing.":[151],"Under":[152],"both":[153],"models,":[154],"experimental":[155],"results":[156],"in":[157,193],"classification":[158],"scenarios":[159],"demonstrate":[160],"proposed":[163],"superior":[166],"traditional":[168],"access,":[170],"achieves":[172],"near-optimal":[174],"balance":[175],"accuracy":[178],"probability":[181],"missed":[183],"detection,":[184],"highlighting":[185],"its":[186],"effectiveness":[187],"query-based":[190],"IoT":[195],"networks.":[196]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}