{"id":"https://openalex.org/W1984290282","doi":"https://doi.org/10.1109/ipin.2012.6418852","title":"WiFi fingerprinting signal strength error modeling for short distances","display_name":"WiFi fingerprinting signal strength error modeling for short distances","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W1984290282","doi":"https://doi.org/10.1109/ipin.2012.6418852","mag":"1984290282"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2012.6418852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2012.6418852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","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/A5022128321","display_name":"Vahideh Moghtadaiee","orcid":"https://orcid.org/0000-0001-9655-4451"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Vahideh Moghtadaiee","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, University of New South Wales, Australian Defence Force Academy, Sydney, Australia","School of Surveying & Geospatial Engineering, University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, University of New South Wales, Australian Defence Force Academy, Sydney, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Surveying & Geospatial Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008198554","display_name":"Andrew G. Dempster","orcid":"https://orcid.org/0000-0003-0881-1548"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Andrew G. Dempster","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, University of New South Wales, Australian Defence Force Academy, Sydney, Australia","School of Surveying & Geospatial Engineering, University of New South Wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, University of New South Wales, Australian Defence Force Academy, Sydney, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]},{"raw_affiliation_string":"School of Surveying & Geospatial Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2485,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.88374408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9886999726295471,"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9868999719619751,"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/euclidean-distance","display_name":"Euclidean distance","score":0.698221743106842},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6598092317581177},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.6581722497940063},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5767340660095215},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.5560624599456787},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.5324310660362244},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.4978773593902588},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.49437808990478516},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46181997656822205},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4518333673477173},{"id":"https://openalex.org/keywords/location-based-service","display_name":"Location-based service","score":0.42667078971862793},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4262143075466156},{"id":"https://openalex.org/keywords/received-signal-strength-indication","display_name":"Received signal strength indication","score":0.4120137095451355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.395422101020813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36583298444747925},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.359354704618454},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.34181851148605347},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3184272050857544},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23830392956733704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2242574393749237},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18718737363815308}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.698221743106842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6598092317581177},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.6581722497940063},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5767340660095215},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.5560624599456787},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.5324310660362244},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.4978773593902588},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.49437808990478516},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46181997656822205},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4518333673477173},{"id":"https://openalex.org/C155292070","wikidata":"https://www.wikidata.org/wiki/Q1198122","display_name":"Location-based service","level":2,"score":0.42667078971862793},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4262143075466156},{"id":"https://openalex.org/C2778913798","wikidata":"https://www.wikidata.org/wiki/Q1195672","display_name":"Received signal strength indication","level":3,"score":0.4120137095451355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.395422101020813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36583298444747925},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.359354704618454},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.34181851148605347},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3184272050857544},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23830392956733704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2242574393749237},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18718737363815308},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ipin.2012.6418852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2012.6418852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.367.1538","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.1538","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gmat.unsw.edu.au/snap/publications/vida%26dempster2012a.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1554702733","https://openalex.org/W1608826770","https://openalex.org/W1988358147","https://openalex.org/W2002778056","https://openalex.org/W2029980841","https://openalex.org/W2041740728","https://openalex.org/W2127036301","https://openalex.org/W2141225005","https://openalex.org/W2143862821","https://openalex.org/W2146439054","https://openalex.org/W2170102584","https://openalex.org/W2188181541","https://openalex.org/W6633277150","https://openalex.org/W6686737260","https://openalex.org/W6908552822"],"related_works":["https://openalex.org/W2162859609","https://openalex.org/W150547863","https://openalex.org/W2022445516","https://openalex.org/W4200318234","https://openalex.org/W2982532306","https://openalex.org/W1891938465","https://openalex.org/W1639914594","https://openalex.org/W4237766728","https://openalex.org/W4253688861","https://openalex.org/W1550605711"],"abstract_inverted_index":{"With":[0],"increasing":[1],"user":[2],"demands":[3],"on":[4,48,112],"Location-based":[5],"Services":[6,11],"(LBS)":[7],"and":[8,93,119,135,155,255,263,296,320],"Social":[9],"Networking":[10],"(SNS),":[12],"indoor":[13,45],"positioning":[14],"has":[15],"become":[16],"more":[17,179],"crucial.":[18],"Because":[19],"of":[20,24,64,72,90,100,183,195,217,230,276,326,335],"the":[21,49,61,73,83,97,113,117,124,127,140,174,203,218,227,258,264,274,277,333],"general":[22],"failure":[23],"GPS":[25],"indoors,":[26],"non-GNSS":[27],"navigation":[28],"technologies":[29],"are":[30,165,171,306],"essential":[31],"for":[32,44,76],"such":[33,336],"areas.":[34],"Wireless":[35],"Local":[36],"Area":[37],"Networks":[38],"(WLAN)":[39],"have":[40],"widely":[41],"been":[42],"employed":[43],"localisation":[46,77],"based":[47,111],"Received":[50],"Signal":[51],"Strength":[52],"(RSS)-based":[53],"location":[54],"fingerprinting":[55,58],"technique.":[56],"The":[57,151,282],"technique":[59],"stores":[60],"location-dependent":[62],"characteristics":[63],"a":[65,79,148,181,193,198,214,238,290,300],"signal":[66,91,222],"collected":[67],"at":[68,197,208,248,312],"known":[69],"locations":[70,247],"ahead":[71],"system's":[74],"use":[75],"in":[78,147,221,267,270,289,299,338],"database.":[80,150],"When":[81],"positioning,":[82],"user's":[84],"device":[85],"records":[86],"its":[87],"own":[88],"vector(s)":[89],"strength":[92],"matches":[94,115],"it":[95,190],"against":[96],"pre-recorded":[98],"database":[99],"vectors":[101],"by":[102],"applying":[103],"pattern":[104],"matching":[105],"algorithms.":[106],"Location":[107],"is":[108,241],"then":[109],"calculated":[110],"best":[114],"between":[116,126,143,153,205,260,279],"new":[118,239],"stored":[120],"vectors.":[121],"We":[122,308],"examined":[123],"relationship":[125,259,278],"measured":[128,175,207,219],"Manhattan":[129],"Distance":[130,133],"(MD),":[131],"Euclidean":[132],"(ED),":[134],"other":[136,254,322],"vector":[137,156,169,261,323],"distances":[138,170,324],"over":[139],"geometric":[141,154,233,265],"distance":[142,157,184,262,266],"Reference":[144],"Points":[145],"(RPs)":[146],"fingerprint":[149],"correlation":[152],"was":[158,212,286],"poor.":[159],"However,":[160],"because":[161],"\u201cnearest":[162],"neighbor\u201d":[163],"algorithms":[164],"used,":[166],"only":[167],"short":[168,232,250,313],"important.":[172],"Furthermore,":[173],"RSSs":[176],"varied":[177],"much":[178],"as":[180,192],"function":[182,194],"(due":[185],"to":[186,226,243,256,272,317],"fast":[187],"fading)":[188],"than":[189],"did":[191],"time":[196],"single":[199],"test":[200,210,284],"point.":[201],"Hence,":[202],"difference":[204,220],"variances":[206],"two":[209],"points":[211],"not":[213],"good":[215],"indicator":[216],"strength.":[223],"This":[224],"led":[225],"current":[228],"investigation":[229],"very":[231,249],"distances.":[234],"In":[235],"this":[236],"paper,":[237],"algorithm":[240],"applied":[242],"examine":[244],"data":[245],"from":[246,252],"ranges":[251],"each":[253],"investigate":[257],"closer":[268],"areas":[269],"order":[271],"observe":[273],"nature":[275],"short-range":[280],"fingerprints.":[281],"experimental":[283],"bed":[285],"carried":[287],"out":[288],"large":[291],"furnished":[292],"office.":[293],"Two":[294],"west-east":[295],"south-north":[297],"lines":[298],"cross":[301],"shape":[302],"with":[303],"4m":[304],"length":[305],"considered.":[307],"find":[309],"that":[310],"even":[311],"distances,":[314],"variation":[315,337],"due":[316],"fading":[318],"dominates":[319],"using":[321],"instead":[325],"MD":[327],"or":[328],"ED":[329],"can":[330],"help":[331],"decrease":[332],"effect":[334],"positioning.":[339]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":7},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}