{"id":"https://openalex.org/W4386108471","doi":"https://doi.org/10.1109/jiot.2023.3307820","title":"A Fine-Grained End-to-End Latency Optimization Framework for Wireless Collaborative Inference","display_name":"A Fine-Grained End-to-End Latency Optimization Framework for Wireless Collaborative Inference","publication_year":2023,"publication_date":"2023-08-23","ids":{"openalex":"https://openalex.org/W4386108471","doi":"https://doi.org/10.1109/jiot.2023.3307820"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3307820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3307820","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5088938998","display_name":"Lei Mu","orcid":"https://orcid.org/0000-0001-8141-2135"},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Mu","raw_affiliation_strings":["School of Computer Science and Engineering, Southwest Minzu University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8141-2135","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southwest Minzu University, Chengdu, China","institution_ids":["https://openalex.org/I6645349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101918837","display_name":"Zhonghui Li","orcid":"https://orcid.org/0009-0005-8536-4210"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhonghui Li","raw_affiliation_strings":["School of Intelligent Engineering, Hubei Enshi College, Enshi, China"],"raw_orcid":"https://orcid.org/0009-0005-8536-4210","affiliations":[{"raw_affiliation_string":"School of Intelligent Engineering, Hubei Enshi College, Enshi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446395","display_name":"Wei Xiao","orcid":"https://orcid.org/0000-0003-3038-3201"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Xiao","raw_affiliation_strings":["Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004074785","display_name":"Ruilin Zhang","orcid":"https://orcid.org/0000-0002-4818-9282"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Ruilin Zhang","raw_affiliation_strings":["School of Business, The University of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, The University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396117","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0003-0788-6687"},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Southwest Minzu University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southwest Minzu University, Chengdu, China","institution_ids":["https://openalex.org/I6645349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057811115","display_name":"Tao Liu","orcid":"https://orcid.org/0000-0002-0348-5977"},"institutions":[{"id":"https://openalex.org/I6645349","display_name":"Southwest Minzu University","ror":"https://ror.org/04gaexw88","country_code":"CN","type":"education","lineage":["https://openalex.org/I6645349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Southwest Minzu University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southwest Minzu University, Chengdu, China","institution_ids":["https://openalex.org/I6645349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770003","display_name":"Geyong Min","orcid":"https://orcid.org/0000-0003-1395-7314"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Geyong Min","raw_affiliation_strings":["Department of Computer Science, University of Exeter, Exeter, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1395-7314","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Exeter, Exeter, U.K","institution_ids":["https://openalex.org/I23923803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keqin Li","raw_affiliation_strings":["Department of Computer Science, State University of New York, New Paltz, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-5224-4048","affiliations":[{"raw_affiliation_string":"Department of Computer Science, State University of New York, New Paltz, NY, USA","institution_ids":["https://openalex.org/I157455823"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4566,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89772706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":"4","first_page":"5840","last_page":"5853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9976999759674072,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9976999759674072,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11932","display_name":"Wireless Body Area Networks","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8285888433456421},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.6937945485115051},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5896009802818298},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.582830548286438},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5269193053245544},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5022268295288086},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37291502952575684},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.21477502584457397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11157044768333435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8285888433456421},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.6937945485115051},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5896009802818298},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.582830548286438},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5269193053245544},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5022268295288086},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37291502952575684},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.21477502584457397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11157044768333435}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3307820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3307820","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3737978385","display_name":null,"funder_award_id":"2023YFG0302","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"},{"id":"https://openalex.org/G7589370504","display_name":null,"funder_award_id":"62171390","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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2058599268","https://openalex.org/W2076112183","https://openalex.org/W2101234009","https://openalex.org/W2119144962","https://openalex.org/W2131183806","https://openalex.org/W2139318413","https://openalex.org/W2253429366","https://openalex.org/W2408744528","https://openalex.org/W2604319603","https://openalex.org/W2618530766","https://openalex.org/W2624989916","https://openalex.org/W2799878136","https://openalex.org/W2896180420","https://openalex.org/W2919115771","https://openalex.org/W2928560789","https://openalex.org/W2946889564","https://openalex.org/W2949628230","https://openalex.org/W2962965870","https://openalex.org/W2963063315","https://openalex.org/W2971714613","https://openalex.org/W2980856918","https://openalex.org/W2987201163","https://openalex.org/W2998600867","https://openalex.org/W3014988774","https://openalex.org/W3034429256","https://openalex.org/W3041971333","https://openalex.org/W3043914740","https://openalex.org/W3081125651","https://openalex.org/W3089190064","https://openalex.org/W3100229168","https://openalex.org/W3118608800","https://openalex.org/W3120615301","https://openalex.org/W3121696187","https://openalex.org/W3160403640","https://openalex.org/W3168905915","https://openalex.org/W4226218668","https://openalex.org/W4236099117","https://openalex.org/W4308360138","https://openalex.org/W4313855337","https://openalex.org/W6675354045","https://openalex.org/W6677580257","https://openalex.org/W6726275242","https://openalex.org/W6760696709","https://openalex.org/W6772284903","https://openalex.org/W6787972765","https://openalex.org/W6788034315"],"related_works":["https://openalex.org/W2151749779","https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W3196421258","https://openalex.org/W2055243143","https://openalex.org/W4387301579","https://openalex.org/W2763956190","https://openalex.org/W3128807919","https://openalex.org/W3176411177"],"abstract_inverted_index":{"Mobile":[0],"devices":[1,31],"are":[2,108],"becoming":[3],"increasingly":[4],"capable":[5],"of":[6,27,42,69,116,132,154,186,207,231],"delivering":[7],"intelligent":[8],"services":[9],"by":[10],"leveraging":[11],"deep":[12,17,134],"learning":[13],"architectures":[14],"such":[15],"as":[16,45,81,147],"neural":[18],"networks":[19],"(DNNs).":[20],"However,":[21],"due":[22],"to":[23,34,39,61,85,111,179,184,235],"the":[24,40,66,94,113,140,164,187,193,197,223,236],"compute-intensive":[25],"nature":[26],"these":[28],"tasks,":[29],"mobile":[30,52],"often":[32],"struggle":[33],"handle":[35],"them":[36],"independently,":[37],"leading":[38],"exploration":[41],"collaborative":[43,76,141],"inference":[44,70,78,86,142,173,181,205,232],"a":[46,75,82,133,148,155,160],"promising":[47,83],"solution":[48,84],"for":[49,118],"achieving":[50],"low-latency":[51],"intelligence.":[53],"Despite":[54],"its":[55,128],"potential":[56,68],"benefits,":[57],"many":[58],"challenges":[59],"need":[60],"be":[62],"addressed":[63],"in":[64,229],"realizing":[65],"full":[67],"acceleration.":[71,87],"This":[72],"article":[73],"presents":[74],"device-edge":[77],"optimization":[79,144,165],"framework":[80,89,166,225],"The":[88,152],"comprises":[90],"fundamental":[91],"modules,":[92],"including":[93],"parameters":[95,117],"generator":[96],"(PG),":[97],"accuracy":[98,174,182],"predictor":[99],"(AP),":[100],"delay":[101],"calculator":[102],"(DC),":[103],"and":[104,123,139,209,218],"optimizer":[105],"(OP),":[106],"which":[107],"specifically":[109],"designed":[110],"identify":[112],"optimal":[114],"set":[115],"model":[119,176],"compression,":[120],"DNN":[121],"partition,":[122],"feature":[124],"compression.":[125],"To":[126],"illustrate":[127],"implementation,":[129],"an":[130],"example":[131],"CNN":[135],"network":[136,189],"is":[137,145,167,177],"introduced,":[138],"latency":[143],"formulated":[146],"mixed-integer":[149],"programming":[150],"problem.":[151],"implementation":[153],"specific":[156],"algorithm":[157],"instance":[158],"using":[159],"quantum-inspired":[161],"OP":[162],"within":[163],"then":[168],"presented.":[169],"A":[170],"multiple":[171],"regression-based":[172],"prediction":[175],"proposed":[178,224],"maintain":[180],"close":[183],"that":[185],"original":[188],"while":[190],"significantly":[191],"reducing":[192],"time":[194],"consumption":[195],"during":[196],"offline":[198],"phase.":[199],"Through":[200],"various":[201],"simulation":[202],"scenarios":[203],"involving":[204],"tasks":[206],"AlexNet":[208],"RegNet":[210],"on":[211],"CIFAR-10,":[212],"incorporating":[213],"diverse":[214],"hardware":[215],"computation":[216],"specifications":[217],"wireless":[219],"communication":[220],"link":[221],"conditions,":[222],"demonstrates":[226],"superior":[227],"performance":[228],"terms":[230],"acceleration":[233],"compared":[234,237],"methods.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}