{"id":"https://openalex.org/W4415624677","doi":"https://doi.org/10.1109/ipin66788.2025.11212914","title":"Comparative Analysis of Indoor Positioning Approaches with Wi-Fi RTT from Android Devices","display_name":"Comparative Analysis of Indoor Positioning Approaches with Wi-Fi RTT from Android Devices","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4415624677","doi":"https://doi.org/10.1109/ipin66788.2025.11212914"},"language":null,"primary_location":{"id":"doi:10.1109/ipin66788.2025.11212914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin66788.2025.11212914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","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/A5073666643","display_name":"Miguel Matey-Sanz","orcid":"https://orcid.org/0000-0002-1189-5079"},"institutions":[{"id":"https://openalex.org/I10902133","display_name":"Universitat Jaume I","ror":"https://ror.org/02ws1xc11","country_code":"ES","type":"education","lineage":["https://openalex.org/I10902133"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Miguel Matey-Sanz","raw_affiliation_strings":["Universitat Jaume I,Institute of New Imaging Technologies,Castell&#x00F3;n,Spain,12006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat Jaume I,Institute of New Imaging Technologies,Castell&#x00F3;n,Spain,12006","institution_ids":["https://openalex.org/I10902133"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059422222","display_name":"Joaqu\u00edn Torres-Sospedra","orcid":"https://orcid.org/0000-0003-4338-4334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joaqu\u00edn Torres-Sospedra","raw_affiliation_strings":["Universitat de Val&#x00E8;ncia,Departament d&#x2019;Inform&#x00E0;tica,Burjassot,Spain,46100"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitat de Val&#x00E8;ncia,Departament d&#x2019;Inform&#x00E0;tica,Burjassot,Spain,46100","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9760000109672546,"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":0.9760000109672546,"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/T10655","display_name":"GNSS positioning and interference","score":0.013100000098347664,"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"}},{"id":"https://openalex.org/T11158","display_name":"Wireless Networks and Protocols","score":0.001500000013038516,"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/euclidean-distance","display_name":"Euclidean distance","score":0.608299970626831},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5177000164985657},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.5084999799728394},{"id":"https://openalex.org/keywords/indoor-positioning-system","display_name":"Indoor positioning system","score":0.5062000155448914},{"id":"https://openalex.org/keywords/hybrid-positioning-system","display_name":"Hybrid positioning system","score":0.4691999852657318},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.385699987411499},{"id":"https://openalex.org/keywords/trilateration","display_name":"Trilateration","score":0.3831000030040741},{"id":"https://openalex.org/keywords/received-signal-strength-indication","display_name":"Received signal strength indication","score":0.33379998803138733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6805999875068665},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.608299970626831},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5184000134468079},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5177000164985657},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.5084999799728394},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.5062000155448914},{"id":"https://openalex.org/C187394410","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Hybrid positioning system","level":4,"score":0.4691999852657318},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C20832178","wikidata":"https://www.wikidata.org/wiki/Q1146298","display_name":"Trilateration","level":3,"score":0.3831000030040741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3783000111579895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3619999885559082},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.33379998803138733},{"id":"https://openalex.org/C2986158284","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Distance measurement","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C3017891749","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android application","level":3,"score":0.29269999265670776},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C3018063660","wikidata":"https://www.wikidata.org/wiki/Q6865448","display_name":"Minimum distance","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2694999873638153},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C2778075934","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning technology","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C202511199","wikidata":"https://www.wikidata.org/wiki/Q7239503","display_name":"Precise Point Positioning","level":4,"score":0.25760000944137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipin66788.2025.11212914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin66788.2025.11212914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W129276496","https://openalex.org/W2012165388","https://openalex.org/W2054632425","https://openalex.org/W2059087443","https://openalex.org/W2170102584","https://openalex.org/W2278572312","https://openalex.org/W2896237406","https://openalex.org/W2945477047","https://openalex.org/W2964029185","https://openalex.org/W2982726437","https://openalex.org/W2990782865","https://openalex.org/W2992647966","https://openalex.org/W3005071118","https://openalex.org/W3035431318","https://openalex.org/W3168626992","https://openalex.org/W3205693253","https://openalex.org/W3209522494","https://openalex.org/W4206682975","https://openalex.org/W4213373033","https://openalex.org/W4285223347","https://openalex.org/W4307330868","https://openalex.org/W4311728669","https://openalex.org/W4313244340","https://openalex.org/W4323315139","https://openalex.org/W4376480770"],"related_works":[],"abstract_inverted_index":{"Wi-Fi-based":[0],"indoor":[1,35,42],"positioning":[2,36,43,154],"applications":[3],"usually":[4],"employ":[5],"methods":[6,143],"based":[7,44],"on":[8,23,45,82],"the":[9,18,32,41,52,58,89,110,116,128,137,141,146,151],"Received":[10],"Signal":[11],"Strength":[12],"Indicator":[13],"(RSSI),":[14],"an":[15,99],"indicator":[16,25],"of":[17,34,118,127,140],"signal":[19],"attenuation.":[20],"However,":[21],"relying":[22],"this":[24],"has":[26],"accuracy":[27],"and":[28,73,95,121,144],"stability":[29],"limitations,":[30],"hampering":[31],"performance":[33],"systems.":[37],"This":[38],"work":[39],"studied":[40],"Wi-Fi":[46],"Round":[47],"Trip":[48],"Time,":[49],"which":[50],"employs":[51],"signal\u2019s":[53],"time-of-flight":[54],"to":[55],"accurately":[56],"measure":[57],"distance":[59,102,149],"between":[60],"compatible":[61,79],"devices.":[62],"We":[63,113],"deployed":[64],"four":[65],"RTT-compatible":[66],"access":[67],"points":[68],"in":[69],"a":[70,96,132],"research":[71],"laboratory":[72],"collected":[74,111],"RTT":[75,104,123],"measurements":[76],"from":[77],"two":[78],"Android":[80],"smartphones":[81],"20":[83],"reference":[84],"locations.":[85],"Then,":[86],"we":[87],"compared":[88],"centroid,":[90],"Euclidean-based":[91],"k-Nearest":[92],"Neighbours":[93],"(KNN)":[94],"KNN":[97],"with":[98],"adapted":[100,147],"Euclidean":[101,148],"for":[103,106],"data":[105],"position":[107],"estimation":[108],"using":[109,119],"dataset.":[112],"also":[114],"explored":[115],"effect":[117],"individual":[120],"time-aggregated":[122],"measurements.":[124],"The":[125],"results":[126],"study":[129],"show":[130],"that":[131,145],"1s":[133],"time":[134],"aggregation":[135],"improves":[136],"mean":[138,153],"errors":[139,155],"KNN-based":[142],"provides":[150],"best":[152],"(0.4\u22120.6m).":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-28T00:00:00"}
