{"id":"https://openalex.org/W4415178890","doi":"https://doi.org/10.1109/tnse.2025.3621235","title":"LCWF: Low-Overhead Collaborative WiFi Fingerprint Localization Considering Devices Heterogeneity","display_name":"LCWF: Low-Overhead Collaborative WiFi Fingerprint Localization Considering Devices Heterogeneity","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415178890","doi":"https://doi.org/10.1109/tnse.2025.3621235"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2025.3621235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3621235","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","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/A5090907570","display_name":"Ye Tao","orcid":"https://orcid.org/0000-0003-1754-0874"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ye Tao","raw_affiliation_strings":["Zhongguancun Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1754-0874","affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037190906","display_name":"Shaolin Tan","orcid":"https://orcid.org/0000-0001-6549-9760"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaolin Tan","raw_affiliation_strings":["Zhongguancun Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6549-9760","affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069623763","display_name":"Rongen Yan","orcid":"https://orcid.org/0000-0002-5107-4339"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongen Yan","raw_affiliation_strings":["School of Information Science and Technology, Beijing Forestry University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5107-4339","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Beijing Forestry University, Beijing, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102779356","display_name":"Nian Liu","orcid":"https://orcid.org/0000-0002-2093-5394"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nian Liu","raw_affiliation_strings":["Zhongguancun Laboratory, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2093-5394","affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009455568","display_name":"Qing Gao","orcid":"https://orcid.org/0000-0001-8000-7736"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Gao","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8000-7736","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027725400","display_name":"Jinhu L\u00fc","orcid":"https://orcid.org/0000-0003-0275-8387"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhu L\u00fc","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0275-8387","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5090907570"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5506,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.90800184,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"2838","last_page":"2851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9943000078201294,"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/T10069","display_name":"Antenna Design and Analysis","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/cluster-analysis","display_name":"Cluster analysis","score":0.6837999820709229},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6273000240325928},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.5120999813079834},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4950999915599823},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4810999929904938},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4661000072956085},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4542999863624573},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4487000107765198},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4472000002861023},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.42329999804496765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757099986076355},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6837999820709229},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6273000240325928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6065999865531921},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.5120999813079834},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4950999915599823},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4810999929904938},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4661000072956085},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4542999863624573},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4487000107765198},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4472000002861023},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34619998931884766},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.3458000123500824},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3398999869823456},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.33809998631477356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.335099995136261},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.2623000144958496},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnse.2025.3621235","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnse.2025.3621235","pdf_url":null,"source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"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 Network Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2564763498","display_name":null,"funder_award_id":"T2322023","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":59,"referenced_works":["https://openalex.org/W1509399498","https://openalex.org/W1969642178","https://openalex.org/W1992407047","https://openalex.org/W2005598601","https://openalex.org/W2035136797","https://openalex.org/W2044846595","https://openalex.org/W2051376734","https://openalex.org/W2124139103","https://openalex.org/W2170102584","https://openalex.org/W2181239276","https://openalex.org/W2187297063","https://openalex.org/W2240192984","https://openalex.org/W2278572312","https://openalex.org/W2294656113","https://openalex.org/W2337457909","https://openalex.org/W2743104312","https://openalex.org/W2744660192","https://openalex.org/W2763697523","https://openalex.org/W2805592233","https://openalex.org/W2807582929","https://openalex.org/W2888183437","https://openalex.org/W2890784233","https://openalex.org/W2891224819","https://openalex.org/W2940728701","https://openalex.org/W2950392941","https://openalex.org/W2963539531","https://openalex.org/W2964029185","https://openalex.org/W2964219546","https://openalex.org/W2971655350","https://openalex.org/W2984128863","https://openalex.org/W3011286333","https://openalex.org/W3015346134","https://openalex.org/W3021789920","https://openalex.org/W3048347984","https://openalex.org/W3080104968","https://openalex.org/W3095247870","https://openalex.org/W3126469890","https://openalex.org/W3150871581","https://openalex.org/W3183451887","https://openalex.org/W4210742442","https://openalex.org/W4214898773","https://openalex.org/W4226026671","https://openalex.org/W4235628085","https://openalex.org/W4237817155","https://openalex.org/W4248122000","https://openalex.org/W4285173448","https://openalex.org/W4292672216","https://openalex.org/W4306178312","https://openalex.org/W4361854868","https://openalex.org/W4385453000","https://openalex.org/W4388286330","https://openalex.org/W4390798763","https://openalex.org/W4390956141","https://openalex.org/W4391936198","https://openalex.org/W4399324078","https://openalex.org/W4402742667","https://openalex.org/W4408590817","https://openalex.org/W4411866831","https://openalex.org/W4413256278"],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"WiFi":[1],"fingerprint":[2,32],"based":[3],"localization":[4,55,151,205],"scheme":[5,56],"relies":[6],"on":[7],"high-overhead":[8],"signal":[9,83,103,108],"collection,":[10],"and":[11,73,98,195],"then":[12],"estimates":[13],"the":[14,35,75,106,126,132,149,161],"location":[15,122],"for":[16,124,210],"each":[17],"user,":[18],"respectively.":[19],"Is":[20],"it":[21],"feasible":[22],"to":[23,71,89,97,117,147,171],"achieve":[24],"a":[25,30,69,82,94,143,181,211],"higher":[26],"estimate":[27],"accuracy":[28,206],"using":[29],"low-overhead":[31],"approach,":[33],"maximizing":[34],"utilization":[36],"of":[37,77,163,207],"collaborative":[38,54,150],"information":[39],"shared":[40],"among":[41,135,153],"users?":[42],"This":[43],"paper":[44],"provides":[45],"an":[46,52,203],"affirmative":[47],"answer.":[48],"Specifically,":[49,179],"we":[50,80,141],"propose":[51,81,142],"emerging":[53],"named":[57],"<italic":[58,166],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[59,167],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">LCWF</i>,":[60],"which":[61,91],"first":[62],"uses":[63],"access":[64,197],"point":[65],"(AP)":[66],"rank":[67],"as":[68],"feature":[70],"discretize":[72],"cluster":[74],"area":[76,93],"interest.":[78],"Then,":[79],"strength":[84,109],"difference":[85],"(SSD)":[86],"similarity":[87],"metric,":[88],"discern":[90],"clustering":[92],"user":[95,127],"belongs":[96],"select":[99],"users":[100,114],"with":[101,189],"robust":[102],"relationships.":[104],"Finally,":[105],"received":[107],"(RSS)":[110],"relationships":[111],"between":[112],"selected":[113],"are":[115],"leveraged":[116],"infer":[118],"their":[119],"corresponding":[120],"physical":[121],"relationships,":[123],"outputting":[125],"final":[128],"location.":[129],"Furthermore,":[130],"considering":[131],"device":[133,144],"heterogeneity":[134],"either":[136],"mobile":[137],"devices":[138],"or":[139],"APs,":[140],"calibration":[145],"algorithm":[146,201],"standardize":[148],"process":[152],"heterogeneous":[154,212],"online":[155],"devices.":[156],"Real-world":[157],"experiments":[158],"results":[159],"validate":[160],"effectiveness":[162],"our":[164,200],"proposed":[165],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">LCWF</i>":[168],"system,":[169],"compared":[170],"other":[172],"state-of-the-art":[173],"approaches":[174],"(e.g.":[175],"NN,":[176],"OCLoc,":[177],"CBWF+).":[178],"in":[180],"40":[182],"m":[183,186,209],"\u00d7":[184],"17":[185],"real":[187],"scenario":[188],"only":[190],"20":[191],"reference":[192],"points":[193,198],"(RPs)":[194],"11":[196],"(APs),":[199],"achieves":[202],"average":[204],"3.42":[208],"dataset.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-12T23:16:27.785689","created_date":"2025-10-15T00:00:00"}
