{"id":"https://openalex.org/W4414170376","doi":"https://doi.org/10.1109/iwqos65803.2025.11143300","title":"Event-Triggered Traffic Scheduling in Time-Sensitive Networks Based on Causal Inference","display_name":"Event-Triggered Traffic Scheduling in Time-Sensitive Networks Based on Causal Inference","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4414170376","doi":"https://doi.org/10.1109/iwqos65803.2025.11143300"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos65803.2025.11143300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"},"type":"article","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/A5067526137","display_name":"J. W. Li","orcid":"https://orcid.org/0009-0005-4832-499X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiasong Li","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101823408","display_name":"Kun Xie","orcid":"https://orcid.org/0000-0003-4009-6601"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Xie","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,Changsha,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102093481","display_name":"Jigang Wen","orcid":"https://orcid.org/0000-0002-7363-881X"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jigang Wen","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology,Xiangtan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology,Xiangtan,China","institution_ids":["https://openalex.org/I121296143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030689390","display_name":"Gaogang Xie","orcid":"https://orcid.org/0000-0003-4964-1135"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaogang Xie","raw_affiliation_strings":["Computer Network Information Center, Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Computer Network Information Center, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078519973","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-5074-1363"},"institutions":[{"id":"https://openalex.org/I121296143","display_name":"Hunan University of Science and Technology","ror":"https://ror.org/02m9vrb24","country_code":"CN","type":"education","lineage":["https://openalex.org/I121296143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["School of Computer Science and Engineering, Hunan University of Science and Technology,Xiangtan,China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Hunan University of Science and Technology,Xiangtan,China","institution_ids":["https://openalex.org/I121296143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067526137"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27453772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12216","display_name":"Network Time Synchronization Technologies","score":0.9998999834060669,"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/T12216","display_name":"Network Time Synchronization Technologies","score":0.9998999834060669,"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/T11125","display_name":"Petri Nets in System Modeling","score":0.9904000163078308,"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/scheduling","display_name":"Scheduling (production processes)","score":0.6722000241279602},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44190001487731934},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.4043999910354614},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.4027000069618225},{"id":"https://openalex.org/keywords/round-robin-scheduling","display_name":"Round-robin scheduling","score":0.36250001192092896},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.34790000319480896},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.34619998931884766},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.33709999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275000214576721},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6722000241279602},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5230000019073486},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44190001487731934},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.4043999910354614},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.4027000069618225},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.36250001192092896},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.33709999918937683},{"id":"https://openalex.org/C112866106","wikidata":"https://www.wikidata.org/wiki/Q267053","display_name":"Lottery scheduling","level":5,"score":0.3095000088214874},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.30649998784065247},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.289900004863739},{"id":"https://openalex.org/C2776544517","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Unexpected events","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28200000524520874},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2727999985218048},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.26919999718666077},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2653999924659729},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C63969886","wikidata":"https://www.wikidata.org/wiki/Q3536440","display_name":"Internet traffic","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos65803.2025.11143300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G525874811","display_name":null,"funder_award_id":"62025201,62321166652,62472167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1973168503","https://openalex.org/W2509830164","https://openalex.org/W2535707672","https://openalex.org/W2535850491","https://openalex.org/W2883842440","https://openalex.org/W2909140690","https://openalex.org/W2940740786","https://openalex.org/W2979041243","https://openalex.org/W2991653934","https://openalex.org/W3047177858","https://openalex.org/W3156006685","https://openalex.org/W3170788757","https://openalex.org/W3182480953","https://openalex.org/W3209897723","https://openalex.org/W4224926682","https://openalex.org/W4244705237","https://openalex.org/W4282942756","https://openalex.org/W4285153832","https://openalex.org/W4309228599","https://openalex.org/W4312961040","https://openalex.org/W4313045836","https://openalex.org/W4313306283","https://openalex.org/W4385567881","https://openalex.org/W4400034345","https://openalex.org/W4400036065","https://openalex.org/W4401508630","https://openalex.org/W4403721245","https://openalex.org/W4406651316"],"related_works":[],"abstract_inverted_index":{"Time-Sensitive":[0],"Networking":[1],"(TSN)":[2],"is":[3,199],"a":[4,152,175,195],"fundamental":[5],"technology":[6],"for":[7,34,183],"enabling":[8,165],"deterministic":[9],"communication":[10],"in":[11,47,87,126],"industrial":[12],"Internet":[13],"applications.":[14],"Existing":[15],"TSN":[16,48],"traffic":[17,45,142],"scheduling":[18,25,98,143,178,215],"research":[19],"primarily":[20],"focuses":[21],"on":[22,146],"optimizing":[23],"the":[24,118,166,184,207,219,244,248,256,263],"of":[26,44,168,221,246,251,258],"timetriggered":[27],"(TT)":[28],"flows":[29,65,82,113,260],"to":[30,74,104,159,180,201,239,269],"ensure":[31,75],"low-delay":[32],"transmission":[33,249],"these":[35,109],"periodic":[36],"and":[37,70,128,161,217],"time-sensitive":[38],"flows.":[39,107,171],"However,":[40,108],"another":[41],"critical":[42],"class":[43],"exists":[46],"that":[49,230],"has":[50],"received":[51],"little":[52],"attention-eventtriggered":[53],"(ET)":[54],"flows,":[55,63,187,212,253],"such":[56],"as":[57,114],"sensor":[58],"exception":[59],"alarms.":[60],"Unlike":[61],"TT":[62,252],"ET":[64,81,106,112,130,170,186,211,222,259],"exhibit":[66],"higher":[67],"time":[68,102],"sensitivity":[69],"demand":[71],"rapid":[72],"response":[73],"system":[76],"security.":[77],"Despite":[78],"their":[79],"importance,":[80],"have":[83,94],"been":[84],"largely":[85],"overlooked":[86],"prior":[88],"studies.":[89],"A":[90],"few":[91],"works":[92],"only":[93],"explored":[95],"dynamically":[96],"expanding":[97],"windows":[99],"or":[100],"sharing":[101],"slots":[103,182],"accommodate":[105],"approaches":[110],"treat":[111],"isolated":[115],"events,":[116],"neglecting":[117],"causal":[119,147,208],"relationships":[120],"between":[121],"them.":[122],"This":[123],"oversight":[124],"results":[125],"inefficient":[127],"unreliable":[129],"flow":[131,192,223],"transmission.":[132,224],"To":[133],"address":[134],"this":[135],"limitation,":[136],"we":[137],"propose":[138],"GP-TSN,":[139],"an":[140],"event-triggered":[141],"framework":[144],"based":[145],"inference.":[148],"Firstly,":[149],"GP-TSN":[150,173,213,254],"introduces":[151],"Spatio-Temporal":[153],"Graph":[154],"Attention-based":[155],"Hawkes":[156],"Process":[157],"(SGATPP)":[158],"model":[160],"mine":[162],"event":[163,234],"relationships,":[164],"inference":[167,235],"future":[169],"Secondly,":[172],"employs":[174],"geometric":[176],"abstraction-based":[177],"strategy":[179],"allocate":[181],"inferred":[185],"ensuring":[188,247],"compliance":[189],"with":[190,262],"TT/ET":[191],"constraints.":[193],"Additionally,":[194],"slot":[196],"recycling":[197],"mechanism":[198],"incorporated":[200],"minimize":[202],"resource":[203],"waste.":[204],"By":[205],"leveraging":[206],"dependencies":[209],"among":[210],"enhances":[214],"efficiency":[216],"improves":[218],"reliability":[220],"Experiments":[225],"across":[226],"four":[227],"datasets":[228],"demonstrate":[229],"SGATPP":[231],"achieves":[232],"superior":[233],"accuracy":[236],"(F1-score":[237],"up":[238],"62.25":[240],"%).":[241],"Moreover,":[242],"under":[243],"condition":[245],"performance":[250],"increases":[255],"number":[257],"transmitted":[261],"minimum":[264],"end-to-end":[265],"delay":[266],"by":[267],"1.7":[268],"9.7":[270],"x.":[271]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
