{"id":"https://openalex.org/W2042541886","doi":"https://doi.org/10.1109/infcom.2013.6566877","title":"An efficient protocol for RFID multigroup threshold-based classification","display_name":"An efficient protocol for RFID multigroup threshold-based classification","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W2042541886","doi":"https://doi.org/10.1109/infcom.2013.6566877","mag":"2042541886"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2013.6566877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2013.6566877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Proceedings IEEE INFOCOM","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/A5006055233","display_name":"Wen Luo","orcid":"https://orcid.org/0000-0001-6160-237X"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wen Luo","raw_affiliation_strings":["Department of Computer & Information Science & Engineering, University of Florida, USA","Department of Computer and Information Science and Engineering, University of Florida Gainesville FL USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Science & Engineering, University of Florida, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Department of Computer and Information Science and Engineering, University of Florida Gainesville FL USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052243076","display_name":"Qiao Yan","orcid":"https://orcid.org/0000-0003-0412-0416"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Qiao","raw_affiliation_strings":["Department of Computer & Information Science & Engineering, University of Florida, USA","Department of Computer and Information Science and Engineering, University of Florida Gainesville FL USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Science & Engineering, University of Florida, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Department of Computer and Information Science and Engineering, University of Florida Gainesville FL USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006184530","display_name":"Shigang Chen","orcid":"https://orcid.org/0000-0001-7867-7765"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shigang Chen","raw_affiliation_strings":["Department of Computer & Information Science & Engineering, University of Florida, USA","Department of Computer and Information Science and Engineering, University of Florida Gainesville FL USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Science & Engineering, University of Florida, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Department of Computer and Information Science and Engineering, University of Florida Gainesville FL USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"890","last_page":"898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.7156664133071899},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.5184099674224854},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49461767077445984},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4924996793270111},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.46971482038497925},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.44522354006767273},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4419296085834503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32702362537384033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1297086477279663}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7156664133071899},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.5184099674224854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49461767077445984},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4924996793270111},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.46971482038497925},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.44522354006767273},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4419296085834503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32702362537384033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1297086477279663},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcom.2013.6566877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2013.6566877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Proceedings IEEE INFOCOM","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1491775036","https://openalex.org/W1495958990","https://openalex.org/W1924820897","https://openalex.org/W2027272808","https://openalex.org/W2031157660","https://openalex.org/W2050849738","https://openalex.org/W2067546761","https://openalex.org/W2074308254","https://openalex.org/W2086398637","https://openalex.org/W2088625530","https://openalex.org/W2096667520","https://openalex.org/W2102471667","https://openalex.org/W2107154877","https://openalex.org/W2116797673","https://openalex.org/W2128935842","https://openalex.org/W2132401136","https://openalex.org/W2135150847","https://openalex.org/W2149393733","https://openalex.org/W2162131829","https://openalex.org/W2163993204","https://openalex.org/W2164690908","https://openalex.org/W2167016696","https://openalex.org/W6629334145","https://openalex.org/W6629743059","https://openalex.org/W6658202128","https://openalex.org/W6675901656","https://openalex.org/W6677259103","https://openalex.org/W6680054459"],"related_works":["https://openalex.org/W1500064003","https://openalex.org/W3107474891","https://openalex.org/W2373532818","https://openalex.org/W2049172720","https://openalex.org/W2370697888","https://openalex.org/W2562070253","https://openalex.org/W4243925910","https://openalex.org/W1516169988","https://openalex.org/W2975200075","https://openalex.org/W196405095"],"abstract_inverted_index":{"RFID":[0,56],"technology":[1],"has":[2],"many":[3],"applications":[4],"such":[5],"as":[6],"object":[7],"tracking,":[8],"automatic":[9],"inventory":[10,138],"control,":[11],"and":[12,59,258],"supply":[13],"chain":[14],"management.":[15],"They":[16],"can":[17,246],"be":[18,151,247],"used":[19],"to":[20,83,114,153,238,249],"identify":[21],"individual":[22],"objects":[23,32,41,84,120],"or":[24,47,71,126],"count":[25],"the":[26,40,67,73,117,142,155,193,198,228,233],"population":[27],"of":[28,31,62,69,85,119,144,185,195],"each":[29,122],"type":[30,94],"in":[33,77,95,102,121,223],"a":[34,54,91,96,98,103,128,159,182,207,224],"deployment":[35],"area,":[36],"no":[37],"matter":[38],"whether":[39,116],"are":[42,80],"passports,":[43],"retail":[44],"products,":[45],"books":[46],"even":[48],"humans.":[49],"Most":[50],"existing":[51,163],"work":[52],"adopts":[53],"\u201cflat\u201d":[55],"system":[57],"model":[58],"performs":[60],"functions":[61],"collecting":[63],"tag":[64],"IDs,":[65],"estimating":[66],"number":[68,118,143,184,194],"tags,":[70],"detecting":[72,181],"missing":[74],"tags.":[75],"However,":[76],"practice,":[78],"tags":[79],"often":[81],"attached":[82],"different":[86,92,99],"groups,":[87],"which":[88],"may":[89],"represent":[90],"product":[93],"warehouse,":[97],"book":[100],"category":[101],"library,":[104],"etc.":[105],"An":[106],"interesting":[107],"problem,":[108],"called":[109],"multigroup":[110,166],"threshold-based":[111,167,240],"classification,":[112],"is":[113,124,135,146,169,177,236],"determine":[115],"group":[123,173],"above":[125,197],"below":[127],"prescribed":[129],"threshold":[130,199],"value.":[131],"Solving":[132],"this":[133,203],"problem":[134],"important":[136],"for":[137,165],"tracking":[139],"applications.":[140],"If":[141],"groups":[145,156,196,222],"very":[147],"large,":[148],"it":[149],"will":[150],"inefficient":[152],"measure":[154],"one":[157],"at":[158],"time.":[160],"The":[161],"best":[162],"solution":[164],"classification":[168,209,241],"based":[170,211],"on":[171,212],"generic":[172],"testing,":[174],"whose":[175],"design":[176],"however":[178],"geared":[179],"towards":[180],"small":[183],"populous":[186],"groups.":[187],"Its":[188],"performance":[189],"degrades":[190],"quickly":[191],"when":[192],"become":[200],"large.":[201],"In":[202,227],"paper,":[204],"we":[205,230],"propose":[206],"new":[208,234],"protocol":[210],"logical":[213],"bitmaps.":[214],"It":[215],"achieves":[216],"high":[217],"efficiency":[218,257],"by":[219],"measuring":[220],"all":[221],"mixed":[225],"fashion.":[226],"meantime,":[229],"show":[231],"that":[232,245],"method":[235],"able":[237],"perform":[239],"with":[242],"an":[243],"accuracy":[244],"pre-set":[248],"any":[250],"desirable":[251],"level,":[252],"allowing":[253],"tradeoff":[254],"between":[255],"time":[256],"accuracy.":[259]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}