{"id":"https://openalex.org/W4416250606","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227758","title":"Neural Adaptive Dependent Task Placement for IoT Streaming Applications","display_name":"Neural Adaptive Dependent Task Placement for IoT Streaming Applications","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250606","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227758"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5100688231","display_name":"Yue Ding","orcid":"https://orcid.org/0000-0002-2911-1244"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Ding","raw_affiliation_strings":["Shanghai University,School of Computer Engineering and Science,China"],"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Computer Engineering and Science,China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355148","display_name":"Yufeng Li","orcid":"https://orcid.org/0000-0002-4731-829X"},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Li","raw_affiliation_strings":["Shanghai University,School of Computer Engineering and Science,China"],"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Computer Engineering and Science,China","institution_ids":["https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074292957","display_name":"Chenhong Cao","orcid":"https://orcid.org/0000-0002-0310-6631"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhong Cao","raw_affiliation_strings":["University of Science and Technology of China,School of Computer Science and Technology"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China,School of Computer Science and Technology","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101408483","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0002-4974-1518"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Purple Mountain Laboratories,China"],"affiliations":[{"raw_affiliation_string":"Purple Mountain Laboratories,China","institution_ids":["https://openalex.org/I4210155350"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100688231"],"corresponding_institution_ids":["https://openalex.org/I141962983"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42035506,"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":"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":0.9067000150680542,"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":0.9067000150680542,"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":0.03970000147819519,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.00860000029206276,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/task","display_name":"Task (project management)","score":0.6111999750137329},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5838000178337097},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5174000263214111},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5087000131607056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5054000020027161},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4950999915599823},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4896000027656555},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4560999870300293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8482999801635742},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6179999709129333},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6111999750137329},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5838000178337097},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5174000263214111},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5087000131607056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5054000020027161},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4950999915599823},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4896000027656555},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4560999870300293},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45350000262260437},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4032000005245209},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3450999855995178},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3301999866962433},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.32190001010894775},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3160000145435333},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2815000116825104},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2055165550","https://openalex.org/W2594560857","https://openalex.org/W2951360122","https://openalex.org/W2984408162","https://openalex.org/W3134357852","https://openalex.org/W3208229128","https://openalex.org/W3212210832","https://openalex.org/W4283209116","https://openalex.org/W4283209501","https://openalex.org/W4285181494","https://openalex.org/W4290991577","https://openalex.org/W4313459279","https://openalex.org/W4317795341","https://openalex.org/W4372271753","https://openalex.org/W4386249662","https://openalex.org/W4391563872","https://openalex.org/W4392796637","https://openalex.org/W4400876897"],"related_works":[],"abstract_inverted_index":{"IoT":[0,73,105,114,139,173],"streaming":[1,74,106,115,140,174],"applications":[2,75,85,175],"serve":[3],"as":[4,117,131],"critical":[5],"drivers":[6],"for":[7,72,84,104,172],"the":[8,48,65,77,126,138],"artificial":[9],"intelligence":[10],"of":[11,54,68],"things":[12],"(AIoT),":[13],"characterized":[14],"by":[15],"their":[16],"sensitivity":[17],"to":[18,57,79,136,147,165],"delays":[19],"and":[20,35,123,169,201],"resource":[21,145,170],"requirements.":[22,89,151],"Placing":[23],"these":[24,92],"application":[25,116],"tasks":[26,111],"on":[27,160],"cooperative":[28],"edge":[29,33],"systems":[30],"efficiently":[31],"utilizes":[32],"computing":[34],"network":[36,49,178,194],"resources,":[37],"enhancing":[38],"data":[39],"processing":[40],"efficiency.":[41],"However,":[42],"existing":[43,209],"placement":[44,102,129,168],"methods":[45,191],"often":[46],"oversimplify":[47],"environments":[50],"or":[51],"overlook":[52],"dependencies":[53],"tasks,":[55],"leading":[56],"suboptimal":[58],"performance":[59],"in":[60,112,176,211],"real-world":[61,182],"scenarios.":[62],"In":[63],"addition,":[64],"varying":[66,149],"Quality":[67],"Service":[69],"(QoS)":[70],"requirements":[71],"emphasize":[76],"need":[78],"make":[80],"different":[81,87],"optimization":[82,134],"decisions":[83],"with":[86,181,189],"QoS":[88,150],"To":[90],"address":[91],"challenges,":[93],"we":[94],"propose":[95],"DAPNet,":[96],"a":[97,118,132,154],"neural":[98],"adaptive":[99],"dependent":[100,110,127],"task":[101,128,167],"method":[103,207],"applications.":[107],"We":[108],"model":[109],"an":[113],"directed":[119],"acyclic":[120],"graph":[121],"(DAG)":[122],"then":[124],"formalize":[125],"problem":[130,135],"multi-objective":[133],"maximize":[137],"application\u2019s":[141],"QoS.":[142,202],"DAPNet":[143],"adapts":[144],"allocation":[146,171],"meet":[148],"It":[152],"uses":[153],"deep":[155],"reinforcement":[156],"learning":[157],"algorithm":[158],"based":[159],"Proximal":[161],"Policy":[162],"Optimization":[163],"(PPO)":[164],"optimize":[166],"dynamic":[177],"environments.":[179],"Simulations":[180],"datasets":[183],"were":[184],"conducted,":[185],"comparing":[186],"our":[187,206],"approach":[188],"state-of-the-art":[190],"across":[192],"two":[193],"environments,":[195],"evaluating":[196],"completion":[197],"time,":[198],"energy":[199],"consumption,":[200],"Results":[203],"show":[204],"that":[205],"outperforms":[208],"approaches":[210],"all":[212],"three":[213],"metrics.":[214]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}