{"id":"https://openalex.org/W4402352420","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650397","title":"Flow-Aware Scheduling with Graph Neural Network Routing for Resource Efficiency in Time-Sensitive Networking","display_name":"Flow-Aware Scheduling with Graph Neural Network Routing for Resource Efficiency in Time-Sensitive Networking","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352420","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650397"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5102061224","display_name":"X. B. Hong","orcid":"https://orcid.org/0000-0001-9478-005X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Hong","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045625634","display_name":"Yuhao Xi","orcid":"https://orcid.org/0000-0003-1635-1537"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Xi","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047351206","display_name":"Peng Liu","orcid":"https://orcid.org/0000-0001-9107-6673"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Liu","raw_affiliation_strings":["Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,College of Information Science and Electronic Engineering,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":1.117,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74517978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12216","display_name":"Network Time Synchronization Technologies","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/T12216","display_name":"Network Time Synchronization Technologies","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/T10714","display_name":"Software-Defined Networks and 5G","score":0.996399998664856,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7871951460838318},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.48824837803840637},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4782601594924927},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.46164149045944214},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.08056259155273438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06007730960845947}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871951460838318},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.48824837803840637},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4782601594924927},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46164149045944214},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.08056259155273438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06007730960845947}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2535632385","https://openalex.org/W2983260997","https://openalex.org/W3047177858","https://openalex.org/W3111807934","https://openalex.org/W3112732217","https://openalex.org/W3113370892","https://openalex.org/W3199842020","https://openalex.org/W4206103431","https://openalex.org/W4280606836","https://openalex.org/W4281846320","https://openalex.org/W4283206034","https://openalex.org/W4284668799","https://openalex.org/W4285218144","https://openalex.org/W4290995088","https://openalex.org/W4295916563","https://openalex.org/W4298857966","https://openalex.org/W4312056160","https://openalex.org/W4313855707","https://openalex.org/W4315474421","https://openalex.org/W4365517528","https://openalex.org/W4386243260","https://openalex.org/W6637967152","https://openalex.org/W6728579711","https://openalex.org/W6736685754"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Time-Sensitive":[0],"Networking":[1],"(TSN)":[2],"emerges":[3],"as":[4,29],"a":[5,27,64,83,148],"promising":[6],"technique":[7],"offering":[8],"deterministic":[9],"transmission":[10],"through":[11],"effective":[12],"scheduling":[13,66,120,153],"mechanisms.":[14],"However,":[15],"the":[16,30,43,119,124,137,172],"coexistence":[17],"of":[18,32,45,118,129,139,193],"non-critical":[19],"flows":[20,23],"and":[21,105,114,154,186],"time-sensitive":[22],"in":[24,75,141,160,176],"TSN":[25],"presents":[26],"predicament":[28],"expansion":[31],"solution":[33],"space":[34],"renders":[35],"it":[36],"arduous":[37],"to":[38,48,53,90,100,136,163],"solve.":[39],"It":[40],"also":[41],"faces":[42],"dilemma":[44],"lacking":[46],"adaptability":[47],"dynamic":[49],"network":[50,70,102,117,143],"environments":[51],"due":[52],"limited":[54],"information":[55],"under":[56],"increasingly":[57],"complex":[58],"requirements.":[59],"To":[60],"attack":[61],"this":[62],"problem,":[63],"flow-aware":[65,112],"with":[67,123],"graph":[68,130],"neural":[69,116,131],"routing":[71,133,155],"for":[72,95,151],"resource":[73,108,177],"efficiency":[74],"TSN,":[76],"named":[77],"DTRJ,":[78],"is":[79],"proposed.":[80],"DTRJ":[81,140,146,170],"utilizes":[82],"multi-agent":[84,161],"deep":[85],"reinforcement":[86],"learning":[87],"(DRL)":[88],"method":[89],"dynamically":[91],"allocate":[92],"queue":[93],"resources":[94],"flows,":[96],"adjust":[97],"link":[98],"weights":[99],"enhance":[101],"load":[103],"balancing,":[104],"jointly":[106],"achieve":[107],"allocation":[109],"optimization.":[110],"The":[111],"strategy":[113],"lightweight":[115],"agent,":[121,134],"combined":[122],"link-level":[125],"features":[126],"extraction":[127],"ability":[128],"network-based":[132],"contribute":[135],"effectiveness":[138],"improving":[142],"performance.":[144],"Specifically,":[145],"introduces":[147],"parallel":[149],"design":[150],"joint":[152],"tasks,":[156],"enabling":[157],"real-time":[158],"decision-making":[159],"systems":[162],"expedite":[164],"computation.":[165],"Experimental":[166],"results":[167],"show":[168],"that":[169],"outperforms":[171],"state-of-the-art":[173],"Tabu/DRL":[174],"methods":[175],"utilization,":[178],"while":[179],"maintaining":[180],"robust":[181],"performance":[182],"across":[183],"various":[184],"topologies":[185],"flow":[187],"periods,":[188],"achieving":[189],"an":[190],"average":[191],"schedulability":[192],"91%.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
