{"id":"https://openalex.org/W2727184637","doi":"https://doi.org/10.1109/siu.2017.7960348","title":"A Wi-Fi fingerprinting-based indoor localization approach: M-Weighted position estimation (m-WPE)","display_name":"A Wi-Fi fingerprinting-based indoor localization approach: M-Weighted position estimation (m-WPE)","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2727184637","doi":"https://doi.org/10.1109/siu.2017.7960348","mag":"2727184637"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2017.7960348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-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/A5049673950","display_name":"Ihsan Mert Ozcelik","orcid":"https://orcid.org/0000-0002-6641-8544"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ihsan Mert Ozcelik","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi, Bo\u011fazi\u00e7i \u00dcniversitesi, \u0130stanbul, T\u00fcrkiye","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019945452","display_name":"Mehmet Yunus Donmez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mehmet Yunus Donmez","raw_affiliation_strings":["NETAS Telekomunikasyon A.S., \u0130stanbul, T\u00fcrkiye"],"affiliations":[{"raw_affiliation_string":"NETAS Telekomunikasyon A.S., \u0130stanbul, T\u00fcrkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049673950"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.2867,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58413378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"4"},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9890999794006348,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7474164962768555},{"id":"https://openalex.org/keywords/wireless-lan","display_name":"Wireless lan","score":0.6145889759063721},{"id":"https://openalex.org/keywords/indoor-positioning-system","display_name":"Indoor positioning system","score":0.5832302570343018},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.581826388835907},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5442370176315308},{"id":"https://openalex.org/keywords/received-signal-strength-indication","display_name":"Received signal strength indication","score":0.5363057851791382},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5332598090171814},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4960502088069916},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.4614824652671814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4477232098579407},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41904976963996887},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3658088445663452},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3650810122489929},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36040109395980835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32145628333091736},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1736024022102356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474164962768555},{"id":"https://openalex.org/C2985434377","wikidata":"https://www.wikidata.org/wiki/Q212607","display_name":"Wireless lan","level":3,"score":0.6145889759063721},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.5832302570343018},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.581826388835907},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5442370176315308},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.5363057851791382},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5332598090171814},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4960502088069916},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.4614824652671814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4477232098579407},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41904976963996887},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3658088445663452},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3650810122489929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36040109395980835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32145628333091736},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1736024022102356},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu.2017.7960348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2017.7960348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1630879738","https://openalex.org/W1777903561","https://openalex.org/W2005598601","https://openalex.org/W2006045725","https://openalex.org/W2055463274","https://openalex.org/W2086469521","https://openalex.org/W2121170352","https://openalex.org/W2129736664","https://openalex.org/W2170102584","https://openalex.org/W6677935285"],"related_works":["https://openalex.org/W2551177135","https://openalex.org/W2612405521","https://openalex.org/W2972573373","https://openalex.org/W2151430090","https://openalex.org/W2803794770","https://openalex.org/W2152888394","https://openalex.org/W1541136496","https://openalex.org/W2534066750","https://openalex.org/W2571879291","https://openalex.org/W2971366094"],"abstract_inverted_index":{"Indoor":[0],"localization":[1,152],"is":[2,108,128],"a":[3,86],"crucial":[4],"topic":[5],"for":[6,28,150],"mobile":[7,56],"computing":[8],"and":[9,17,53,84,98,119],"it":[10],"has":[11,39],"been":[12],"attracting":[13],"numerous":[14],"research":[15],"groups":[16],"labs":[18],"around":[19],"the":[20,23,34,59,66,94,99,103,120,134,155],"world.":[21],"Among":[22],"many":[24],"techniques":[25],"being":[26],"proposed":[27,112,140],"indoor":[29,60,116,151],"localization,":[30],"fingerprinting":[31],"based":[32,92],"on":[33,65,93,133],"use":[35],"of":[36,46,49,68,122],"Wi-Fi":[37,54],"signal":[38],"attracted":[40],"continuous":[41],"attention":[42],"in":[43,76],"academia":[44],"because":[45],"pervasive":[47],"penetration":[48],"wireless":[50],"LANs":[51],"(WLANs)":[52],"enabled":[55],"devices.":[57],"In":[58,79],"positioning":[61,117],"literature,":[62],"various":[63],"approaches":[64],"top":[67],"k-Nearest":[69],"Neighbor":[70],"(k-NN)":[71],"algorithm":[72,107,124],"have":[73],"widespread":[74],"usage":[75],"estimating":[77],"positions.":[78],"this":[80],"paper,":[81],"we":[82],"propose":[83],"implement":[85],"Weighted":[87],"Position":[88],"Estimation":[89],"(WPE)":[90],"approach":[91,113,142],"most":[95],"similar":[96],"k-neighbors":[97],"strongest":[100],"APs":[101],"at":[102],"validation":[104],"point.":[105],"k-NN":[106,123],"compared":[109,153],"with":[110,125],"our":[111,139],"over":[114],"UJIIndoorLoc":[115,135],"database":[118,136],"performance":[121],"different":[126],"k-values":[127],"also":[129],"evaluated.":[130],"Experimental":[131],"results":[132],"reveal":[137],"that":[138],"WPE":[141],"provides":[143],"up":[144],"to":[145,154],"20%":[146],"better":[147],"prediction":[148],"accuracy":[149],"baseline":[156],"k-NN.":[157]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}