{"id":"https://openalex.org/W4414170334","doi":"https://doi.org/10.1109/iwqos65803.2025.11143490","title":"EdgeNet: A Distributed Network Architecture for Real-Time Person Re-Identification with Dynamic Load Balancing","display_name":"EdgeNet: A Distributed Network Architecture for Real-Time Person Re-Identification with Dynamic Load Balancing","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4414170334","doi":"https://doi.org/10.1109/iwqos65803.2025.11143490"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos65803.2025.11143490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143490","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":"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/A5074385909","display_name":"Shangrui Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Shangrui Wu","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University,Guangdong Provincial/Zhuhai Key Laboratory of IRADS,Department of Computer Science,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University,Guangdong Provincial/Zhuhai Key Laboratory of IRADS,Department of Computer Science,Zhuhai,China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334823","display_name":"Yupeng Li","orcid":"https://orcid.org/0000-0001-9652-3321"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yupeng Li","raw_affiliation_strings":["Hong Kong Baptist University,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University,Hong Kong,China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028160889","display_name":"Jianxiong Guo","orcid":"https://orcid.org/0000-0002-0994-3297"},"institutions":[{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiong Guo","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University,Zhuhai,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056455910","display_name":"Wentao Fan","orcid":"https://orcid.org/0000-0001-6694-7289"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Wentao Fan","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University,Guangdong Provincial/Zhuhai Key Laboratory of IRADS,Department of Computer Science,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University,Guangdong Provincial/Zhuhai Key Laboratory of IRADS,Department of Computer Science,Zhuhai,China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738585","display_name":"Wenhua Wang","orcid":"https://orcid.org/0000-0002-7682-0860"},"institutions":[{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhua Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University,Zhuhai,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006546107","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0003-4819-621X"},"institutions":[{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Institute of Artificial Intelligence and Future Networks, Beijing Normal University,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University,Zhuhai,China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2334,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.81362179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9962000250816345,"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/load-balancing","display_name":"Load balancing (electrical power)","score":0.6546000242233276},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5935999751091003},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5835000276565552},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5834000110626221},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47760000824928284},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4708000123500824},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.4595000147819519},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4553999900817871},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.40549999475479126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985000014305115},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.730400025844574},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.6546000242233276},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5935999751091003},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5835000276565552},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5834000110626221},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4934999942779541},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4708000123500824},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4595000147819519},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4553999900817871},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.40549999475479126},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.37459999322891235},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.32690000534057617},{"id":"https://openalex.org/C3739613","wikidata":"https://www.wikidata.org/wiki/Q679003","display_name":"Distributed Computing Environment","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3012000024318695},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C2779370713","wikidata":"https://www.wikidata.org/wiki/Q357554","display_name":"Load management","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos65803.2025.11143490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143490","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/G1057732855","display_name":null,"funder_award_id":"2024A1515011323","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G1633255710","display_name":null,"funder_award_id":"4232028","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G3049849992","display_name":null,"funder_award_id":"62172046,62372047,62202402,62276106","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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1982925187","https://openalex.org/W2204750386","https://openalex.org/W2520433280","https://openalex.org/W2585635281","https://openalex.org/W2757649059","https://openalex.org/W2804905032","https://openalex.org/W2986451890","https://openalex.org/W3119133328","https://openalex.org/W3121984892","https://openalex.org/W3137382871","https://openalex.org/W4220932287","https://openalex.org/W4292551927","https://openalex.org/W4312126011","https://openalex.org/W4313886691","https://openalex.org/W4319300237","https://openalex.org/W4362683541","https://openalex.org/W4385815577","https://openalex.org/W4390872256","https://openalex.org/W4403619717","https://openalex.org/W4408520726","https://openalex.org/W4409364918"],"related_works":[],"abstract_inverted_index":{"Person":[0],"re-identification":[1],"(ReID)":[2],"in":[3,12,35,122],"distributed":[4,46,162],"surveillance":[5,168],"networks":[6],"presents":[7],"significant":[8],"networking":[9,60],"challenges,":[10,42],"particularly":[11],"coordinating":[13],"multiple":[14,111,131],"edge":[15,47,87,132,163],"devices":[16],"for":[17,96,115,166],"real-time":[18,33,52,167],"processing.":[19],"While":[20],"cloud-based":[21,151],"solutions":[22],"offer":[23],"powerful":[24],"computational":[25],"capabilities,":[26],"they":[27],"introduce":[28,100],"substantial":[29],"network":[30,72,90,146],"latency,":[31],"hindering":[32],"performance":[34],"multi-camera":[36],"indoor":[37,116],"environments.":[38],"To":[39],"address":[40],"these":[41],"we":[43,99,134],"present":[44],"a":[45,76,94,102,123],"computing":[48,164],"architecture":[49],"that":[50,67,81,136],"enables":[51],"person":[53],"reidentification.":[54],"Our":[55,153],"system":[56,138],"introduces":[57],"two":[58],"key":[59],"innovations:":[61],"(1)":[62],"an$N$-frame":[63],"feature":[64],"matching":[65],"mechanism":[66],"enhances":[68],"identification":[69,141],"accuracy":[70,142],"at":[71],"edges,":[73],"and":[74,108,130,160],"(2)":[75],"dynamic":[77],"load":[78],"balancing":[79],"framework":[80],"efficiently":[82],"distributes":[83],"processing":[84],"tasks":[85],"across":[86],"nodes":[88],"when":[89],"congestion":[91],"occurs.":[92],"As":[93],"foundation":[95],"this":[97],"research,":[98],"BNBUMTMC,":[101],"mixed":[103],"dataset":[104],"comprising":[105],"both":[106],"images":[107],"videos":[109],"from":[110],"cameras,":[112],"specifically":[113],"tailored":[114],"MTMCReID":[117],"scenarios.":[118],"Through":[119],"extensive":[120],"deployment":[121],"university":[124],"building":[125],"environment":[126],"with":[127],"10":[128],"cameras":[129],"devices,":[133],"demonstrate":[135],"our":[137],"achieves":[139],"high":[140],"while":[143],"significantly":[144],"reducing":[145],"transmission":[147],"latency":[148],"compared":[149],"to":[150],"approaches.":[152],"experience":[154],"provides":[155],"practical":[156],"insights":[157],"into":[158],"designing":[159],"implementing":[161],"systems":[165],"applications.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
