{"id":"https://openalex.org/W2946079567","doi":"https://doi.org/10.1109/tii.2019.2912055","title":"Indoor Multifloor Localization Method Based on WiFi Fingerprints and LDA","display_name":"Indoor Multifloor Localization Method Based on WiFi Fingerprints and LDA","publication_year":2019,"publication_date":"2019-05-23","ids":{"openalex":"https://openalex.org/W2946079567","doi":"https://doi.org/10.1109/tii.2019.2912055","mag":"2946079567"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2912055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2912055","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5108048107","display_name":"Juan Luo","orcid":"https://orcid.org/0000-0002-0858-427X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juan Luo","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065421769","display_name":"Zhenyan Zhang","orcid":"https://orcid.org/0000-0002-9122-2391"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyan Zhang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402120","display_name":"Chun Wang","orcid":"https://orcid.org/0000-0002-1669-7055"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Wang","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353314","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0002-9187-2378"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102781901","display_name":"Degui Xiao","orcid":"https://orcid.org/0000-0002-7330-6532"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Degui Xiao","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108048107"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":3.378,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.92814169,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"9","first_page":"5225","last_page":"5234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9894999861717224,"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":0.7374619841575623},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6548143029212952},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6416249871253967},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5840269923210144},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.543188214302063},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4581342041492462},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45569413900375366},{"id":"https://openalex.org/keywords/indoor-positioning-system","display_name":"Indoor positioning system","score":0.45347243547439575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3826883137226105},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3676794767379761},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18650290369987488},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1423490047454834},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.0967569649219513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374619841575623},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6548143029212952},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6416249871253967},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5840269923210144},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.543188214302063},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4581342041492462},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45569413900375366},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.45347243547439575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3826883137226105},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3676794767379761},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18650290369987488},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1423490047454834},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.0967569649219513},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2019.2912055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2912055","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G46783916","display_name":null,"funder_award_id":"61672220","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1517449954","https://openalex.org/W1535602073","https://openalex.org/W1987869000","https://openalex.org/W2023260670","https://openalex.org/W2040745921","https://openalex.org/W2056818180","https://openalex.org/W2087995106","https://openalex.org/W2100575533","https://openalex.org/W2243031192","https://openalex.org/W2244486986","https://openalex.org/W2309512289","https://openalex.org/W2345276999","https://openalex.org/W2404451347","https://openalex.org/W2490563682","https://openalex.org/W2609910680","https://openalex.org/W2733988566","https://openalex.org/W2736332163","https://openalex.org/W2737441384","https://openalex.org/W2753857670","https://openalex.org/W2762341992","https://openalex.org/W2762414408","https://openalex.org/W2762962020","https://openalex.org/W2783742330","https://openalex.org/W2791811143","https://openalex.org/W2793255089","https://openalex.org/W2794396553","https://openalex.org/W2794976760","https://openalex.org/W2798024831","https://openalex.org/W2883079926","https://openalex.org/W2964219546","https://openalex.org/W3035339293","https://openalex.org/W6690264190"],"related_works":["https://openalex.org/W2250488071","https://openalex.org/W2356150353","https://openalex.org/W2380744779","https://openalex.org/W1999647744","https://openalex.org/W2018643641","https://openalex.org/W4317418868","https://openalex.org/W4379364347","https://openalex.org/W2948691285","https://openalex.org/W2109371243","https://openalex.org/W2618024820"],"abstract_inverted_index":{"Indoor":[0],"localization":[1,23,54,90],"has":[2,8],"elicited":[3],"increasing":[4],"attention":[5],"because":[6],"it":[7],"been":[9],"widely":[10],"used":[11],"in":[12,29,34,43,206,209],"indoor":[13,22],"location-based":[14],"services.":[15],"At":[16],"present,":[17],"many":[18],"complex":[19],"scenarios":[20],"for":[21],"require":[24],"position":[25],"estimation":[26],"not":[27],"only":[28,177],"single-floor":[30],"environments":[31],"but":[32],"also":[33],"multifloor":[35,60,101,211],"ones.":[36],"However,":[37],"existing":[38,204],"works":[39,195],"exhibit":[40],"certain":[41],"limitations":[42],"solving":[44],"the":[45,86,115,118,125,131,137,144,154,161,172,187,191],"problems":[46],"that":[47,167],"involve":[48],"high":[49,199],"computational":[50,192],"complexity":[51],"and":[52,82,99,124,197],"floor":[53,75,120,138,173],"accuracy.":[55],"In":[56,85,114],"this":[57],"paper,":[58],"a":[59,89,100,158,178,210],"identification":[61,76,102],"system":[62,77,169],"based":[63,95,106,142],"on":[64,96,107,143,160],"WiFi":[65,97,180],"fingerprint":[66,91,182],"database":[67,92],"is":[68,78,93,104,122,128,150],"designed":[69],"to":[70,152,189],"address":[71],"these":[72],"issues.":[73],"This":[74],"divided":[79],"into":[80],"offline":[81,87],"online":[83,116],"phases.":[84],"phase,":[88,117],"built":[94],"nodes":[98,188],"model":[103,127],"proposed":[105,151],"linear":[108],"discriminant":[109],"analysis":[110],"(LDA),":[111],"called":[112,148],"MA_LDA.":[113],"final":[119],"number":[121,174],"determined,":[123],"trained":[126],"combined":[129],"with":[130,203],"majority":[132],"voting":[133],"mechanism.":[134],"After":[135],"determining":[136],"number,":[139],"an":[140],"algorithm":[141],"k-nearest":[145],"neighbor":[146],"(KNN),":[147],"LL_KNN,":[149],"obtain":[153],"location":[155],"information":[156,183],"of":[157],"target":[159],"floor.":[162],"Real":[163],"experiment":[164],"results":[165],"show":[166],"our":[168],"can":[170],"identify":[171],"by":[175],"using":[176],"little":[179],"node":[181],"rather":[184],"than":[185],"all":[186],"reduce":[190],"complexity.":[193],"It":[194],"efficiently":[196],"achieves":[198],"fault-tolerance":[200],"performance":[201],"compared":[202],"approaches":[205],"locating":[207],"targets":[208],"environment.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
