{"id":"https://openalex.org/W4405179533","doi":"https://doi.org/10.1109/tsc.2024.3512949","title":"A Resource-Efficient Multiple Recognition Services Framework for IoT Devices","display_name":"A Resource-Efficient Multiple Recognition Services Framework for IoT Devices","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4405179533","doi":"https://doi.org/10.1109/tsc.2024.3512949"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2024.3512949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2024.3512949","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Services Computing","raw_type":"journal-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/A5046959149","display_name":"Chuntao Ding","orcid":"https://orcid.org/0000-0001-8362-8407"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210127216","display_name":"Ministry of Transport","ror":"https://ror.org/031wq1t38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuntao Ding","raw_affiliation_strings":["Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, Beijing, China","Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, with the School of Computer Science and Technology, Beijing Jiaotong University, and with School of Artificial Intelligence, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8362-8407","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I4210127216"]},{"raw_affiliation_string":"Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, with the School of Computer Science and Technology, Beijing Jiaotong University, and with School of Artificial Intelligence, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I21193070","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355531","display_name":"Zhuo Liu","orcid":"https://orcid.org/0000-0002-7591-7775"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210127216","display_name":"Ministry of Transport","ror":"https://ror.org/031wq1t38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Liu","raw_affiliation_strings":["Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, Beijing, China","Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, with the School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I4210127216"]},{"raw_affiliation_string":"Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, with the School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016717153","display_name":"Ao Zhou","orcid":"https://orcid.org/0000-0001-5743-9418"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Zhou","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5743-9418","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104160885","display_name":"Jinhui Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210127216","display_name":"Ministry of Transport","ror":"https://ror.org/031wq1t38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhui Yu","raw_affiliation_strings":["Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, Beijing, China","Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, with the School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I4210127216"]},{"raw_affiliation_string":"Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, with the School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010019122","display_name":"Yidong Li","orcid":"https://orcid.org/0000-0003-2965-6196"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210127216","display_name":"Ministry of Transport","ror":"https://ror.org/031wq1t38","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yidong Li","raw_affiliation_strings":["Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, Beijing, China","Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, with the School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2965-6196","affiliations":[{"raw_affiliation_string":"Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, Beijing, China","institution_ids":["https://openalex.org/I4210127216"]},{"raw_affiliation_string":"Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, with the School of Computer Science and Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054814598","display_name":"Shangguang Wang","orcid":"https://orcid.org/0000-0001-7245-1298"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangguang Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7245-1298","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2168,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57332487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"18","issue":"1","first_page":"29","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9258999824523926,"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":0.9258999824523926,"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":0.8504568338394165},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5669682025909424},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5653107166290283},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3376005291938782},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23625630140304565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8504568338394165},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5669682025909424},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5653107166290283},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3376005291938782},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23625630140304565}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsc.2024.3512949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2024.3512949","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Services Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1381354293","display_name":null,"funder_award_id":"U2268203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2967312159","display_name":null,"funder_award_id":"2024JBMC035","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4778515295","display_name":null,"funder_award_id":"U21B2016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7483642958","display_name":null,"funder_award_id":"62032003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G891683650","display_name":null,"funder_award_id":"62202039","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2194775991","https://openalex.org/W2340897893","https://openalex.org/W2468875367","https://openalex.org/W2585425668","https://openalex.org/W2594560857","https://openalex.org/W2605258629","https://openalex.org/W2751904527","https://openalex.org/W2794670651","https://openalex.org/W2797952247","https://openalex.org/W2884886306","https://openalex.org/W2887117815","https://openalex.org/W2897268228","https://openalex.org/W2920031528","https://openalex.org/W2949628230","https://openalex.org/W2951894856","https://openalex.org/W2962883027","https://openalex.org/W2963163009","https://openalex.org/W2963430933","https://openalex.org/W2963877604","https://openalex.org/W2963881378","https://openalex.org/W2982083293","https://openalex.org/W2982152811","https://openalex.org/W2982789873","https://openalex.org/W3030801383","https://openalex.org/W3036917029","https://openalex.org/W3049640275","https://openalex.org/W3094502228","https://openalex.org/W3106901158","https://openalex.org/W3113877627","https://openalex.org/W3127970036","https://openalex.org/W4205126595","https://openalex.org/W4212872464","https://openalex.org/W4293210321","https://openalex.org/W4298121354","https://openalex.org/W4312354469","https://openalex.org/W4312817101","https://openalex.org/W4312915574","https://openalex.org/W4324044577","https://openalex.org/W4386075497","https://openalex.org/W4386858846","https://openalex.org/W6637373629","https://openalex.org/W6737664043","https://openalex.org/W6743688258","https://openalex.org/W6761472960","https://openalex.org/W6770205404","https://openalex.org/W6787972765","https://openalex.org/W6838539104"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2390279801","https://openalex.org/W2625093826","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"Deploying":[0],"the":[1,24,41,45,51,55,108,115,119,148,152,205,228,235,243,251],"convolutional":[2],"neural":[3],"network":[4,259],"(CNN)":[5],"model":[6,43,167],"on":[7,44,107,211,226,234],"Internet":[8],"of":[9,31,114,136,139,151,177],"Things":[10],"(IoT)":[11],"devices":[12],"to":[13,23,38,54,71,128],"provide":[14],"diverse":[15],"recognition":[16,96],"services":[17,97,160,214,224],"has":[18,35,173],"received":[19],"increasing":[20],"attention.":[21],"Due":[22],"limited":[25],"storage,":[26],"computing,":[27],"and":[28,48,78,83,118,142,190,215],"other":[29,208],"resources":[30,82],"IoT":[32,56,100,111],"devices,":[33],"it":[34,155],"become":[36],"mainstream":[37],"first":[39],"train":[40],"CNN":[42,53,116,153,166],"edge/cloud":[46],"server":[47],"then":[49],"send":[50],"trained":[52],"device.":[57],"However,":[58],"most":[59],"existing":[60],"related":[61],"methods":[62,210],"suffer":[63],"from":[64,196],"two":[65],"limitations,":[66],"(i)":[67],"low":[68],"performance":[69],"due":[70],"service":[72,130,172,195],"interference":[73,158],"or":[74],"insufficient":[75],"mutual":[76,157],"assistance,":[77],"(ii)":[79],"large":[80],"memory":[81],"switching":[84],"resource":[85],"overhead.":[86],"To":[87],"this":[88,90],"end,":[89],"article":[91],"proposes":[92],"a":[93,122,137,164,174,197],"resource-efficient":[94],"multiple":[95,169],"framework":[98,104,120],"for":[99,168,185,193],"devices.":[101],"The":[102,132],"proposed":[103,229,255],"is":[105,239],"based":[106,225],"edge":[109],"server-assisted":[110],"device":[112],"training":[113,163],"model,":[117,154],"includes":[121],"deeper":[123],"weight":[124],"adaptation":[125],"(DeepWAdapt)":[126],"algorithm":[127,134],"mitigate":[129],"interference.":[131],"DeepWAdapt":[133,206,230,256],"consists":[135],"set":[138,176],"learnable":[140,180],"masks,":[141],"by":[143,162,262],"inserting":[144],"these":[145],"masks":[146,181],"into":[147],"appropriate":[149,189],"layers":[150],"mitigates":[156],"between":[159],"caused":[161],"single":[165],"services.":[170,219],"Each":[171],"specific":[175,191],"masks.":[178],"These":[179],"work":[182],"like":[183],"keys":[184],"each":[186,194],"service,":[187],"selecting":[188],"features":[192],"shared":[198],"feature":[199],"set.":[200],"Experimental":[201],"results":[202],"demonstrate":[203],"that":[204],"outperforms":[207],"state-of-the-art":[209,245],"image-level":[212],"classification":[213],"pixel-level":[216],"dense":[217],"prediction":[218],"Specifically,":[220],"when":[221],"executing":[222],"40":[223],"ResNet18,":[227],"achieves":[231],"66.82%":[232],"F1-score":[233,241],"CelebA":[236],"dataset,":[237],"which":[238],"+2.61%":[240],"than":[242],"previous":[244],"result.":[246],"In":[247],"addition,":[248],"compared":[249],"with":[250],"routing":[252],"method,":[253],"our":[254],"also":[257],"reduces":[258],"transmission":[260],"traffic":[261],"approximately":[263],"35%.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}