{"id":"https://openalex.org/W1861408996","doi":"https://doi.org/10.1007/978-3-642-01721-6_9","title":"Error Estimation for Indoor 802.11 Location Fingerprinting","display_name":"Error Estimation for Indoor 802.11 Location Fingerprinting","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1861408996","doi":"https://doi.org/10.1007/978-3-642-01721-6_9","mag":"1861408996"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-642-01721-6_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-01721-6_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://pure.au.dk/portal/en/publications/3c993490-0e8b-11de-8317-000ea68e967b","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087798603","display_name":"Hendrik Lemelson","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hendrik Lemelson","raw_affiliation_strings":["Department of Computer Science, University of Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034655219","display_name":"Mikkel Baun Kj\u00e6rgaard","orcid":"https://orcid.org/0000-0001-5124-744X"},"institutions":[{"id":"https://openalex.org/I204337017","display_name":"Aarhus University","ror":"https://ror.org/01aj84f44","country_code":"DK","type":"education","lineage":["https://openalex.org/I204337017"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Mikkel Baun Kj\u00e6rgaard","raw_affiliation_strings":["Department of Computer Science, University of Aarhus, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Aarhus, Denmark","institution_ids":["https://openalex.org/I204337017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051122243","display_name":"Ren\u00e9 Rydhof Hansen","orcid":"https://orcid.org/0000-0002-5688-6432"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Rene Hansen","raw_affiliation_strings":["Department of Computer Science, University of Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110752800","display_name":"Thomas King","orcid":null},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas King","raw_affiliation_strings":["Department of Computer Science, University of Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087798603"],"corresponding_institution_ids":["https://openalex.org/I177802217"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":19.0705,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.99549288,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"138","last_page":"155"},"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9897000193595886,"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":0.8350510597229004},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6943850517272949},{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.6319179534912109},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5040627717971802},{"id":"https://openalex.org/keywords/positioning-system","display_name":"Positioning system","score":0.48087552189826965},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4047507643699646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3844432830810547},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.07979783415794373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8350510597229004},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6943850517272949},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.6319179534912109},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5040627717971802},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.48087552189826965},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4047507643699646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3844432830810547},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.07979783415794373},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-642-01721-6_9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-01721-6_9","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:openaire/3c993490-0e8b-11de-8317-000ea68e967b","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/3c993490-0e8b-11de-8317-000ea68e967b","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lemelson, H, Kj\u00e6rgaard, M B, Hansen, R & King, T 2009, 'Error Estimation for Indoor 802.11 Location Fingerprinting', Lecture Notes in Computer Science, pp. 138-155. https://doi.org/10.1007/978-3-642-01721-6_9","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/d3aaa8d0-2dbd-11df-aeaf-000ea68e967b","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/d3aaa8d0-2dbd-11df-aeaf-000ea68e967b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lemelson , H , Kj\u00e6rgaard , M B , King , T & Hansen , R 2009 , ' Error estimation for indoor 802.11 location fingerprinting ' , Lecture Notes in Computer Science , vol. 5561 , pp. 138-155 . https://doi.org/10.1007/978-3-642-01721-6_9","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/3c993490-0e8b-11de-8317-000ea68e967b","is_oa":true,"landing_page_url":"https://pure.au.dk/portal/en/publications/3c993490-0e8b-11de-8317-000ea68e967b","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lemelson, H, Kj\u00e6rgaard, M B, Hansen, R & King, T 2009, 'Error Estimation for Indoor 802.11 Location Fingerprinting', Lecture Notes in Computer Science, pp. 138-155. https://doi.org/10.1007/978-3-642-01721-6_9","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W23149702","https://openalex.org/W635896766","https://openalex.org/W1497536612","https://openalex.org/W1570448133","https://openalex.org/W1588399981","https://openalex.org/W1835689522","https://openalex.org/W1976048611","https://openalex.org/W2096157747","https://openalex.org/W2106208513","https://openalex.org/W2121868539","https://openalex.org/W2124142294","https://openalex.org/W2124945426","https://openalex.org/W2132639726","https://openalex.org/W2139954814","https://openalex.org/W2142136129","https://openalex.org/W2148300020","https://openalex.org/W2154309321","https://openalex.org/W2159405390","https://openalex.org/W2167619819","https://openalex.org/W2170102584","https://openalex.org/W2303394219","https://openalex.org/W2488782408","https://openalex.org/W2913524657","https://openalex.org/W2966207845","https://openalex.org/W4240079786","https://openalex.org/W4299899584"],"related_works":["https://openalex.org/W2154523322","https://openalex.org/W2083200807","https://openalex.org/W2364195017","https://openalex.org/W2049983405","https://openalex.org/W2355430452","https://openalex.org/W1603137082","https://openalex.org/W2392315374","https://openalex.org/W1951195060","https://openalex.org/W2295914752","https://openalex.org/W2390516150"],"abstract_inverted_index":{"802.11-based":[0,51],"indoor":[1],"positioning":[2,52,126,191],"systems":[3,53],"have":[4],"been":[5],"under":[6],"research":[7,25],"for":[8,63,198],"quite":[9],"some":[10],"time":[11,232],"now.":[12],"However,":[13],"despite":[14],"the":[15,24,28,44,58,77,86,101,116,129,149,187,190,200,228],"large":[16],"attention":[17],"this":[18,34],"topic":[19],"has":[20],"gained,":[21],"most":[22],"of":[23,30,148,151,186,203],"focused":[26],"on":[27,68,100,227],"calculation":[29],"position":[31,45,59,69,79,90,103,133,201],"estimates.":[32],"In":[33],"paper,":[35],"we":[36,136,225],"go":[37],"a":[38,107,121,159],"step":[39],"further":[40],"and":[41,176,189,193,221,231],"investigate":[42],"how":[43],"error":[46,60,80,104,134,202],"that":[47,66,141,181],"is":[48,61],"inherent":[49],"to":[50,81,105,118,205],"can":[54,210],"be":[55,74],"estimated.":[56],"Knowing":[57],"crucial":[62],"many":[64],"applications":[65],"rely":[67],"information:":[70],"End":[71],"users":[72],"could":[73,94,114],"informed":[75],"about":[76],"estimated":[78,102],"avoid":[82],"frustration":[83],"in":[84,167],"case":[85],"system":[87,112,123],"gives":[88],"faulty":[89],"information.":[91],"Service":[92],"providers":[93],"adapt":[95],"their":[96],"delivered":[97],"services":[98],"based":[99],"achieve":[106],"higher":[108],"service":[109],"quality.":[110],"Finally,":[111],"operators":[113],"use":[115],"information":[117],"inspect":[119],"whether":[120],"location":[122],"provides":[124],"satisfactory":[125],"accuracy":[127],"throughout":[128],"covered":[130],"area.":[131],"For":[132],"estimation,":[135],"present":[137],"four":[138,153],"novel":[139],"algorithms":[140,154,166,183,209],"take":[142],"different":[143,169,217],"features":[144],"into":[145],"account.":[146],"Advantages":[147],"combination":[150],"these":[152],"are":[155],"explored":[156],"by":[157,172,212],"using":[158,173],"machine-learning":[160],"approach.":[161],"We":[162],"evaluate":[163],"our":[164,182],"proposed":[165],"two":[168],"real-world":[170,174],"deployments":[171],"data":[175],"emulation.":[177],"The":[178,208],"results":[179],"show":[180],"work":[184],"independently":[185],"environment":[188],"algorithm,":[192],"with":[194],"an":[195],"average":[196],"precision":[197],"estimating":[199],"up":[204],"1.45":[206],"meters.":[207],"\u2013":[211,215],"adjusting":[213],"parameters":[214],"realize":[216],"tradeoffs":[218],"between":[219],"underestimating":[220],"overestimating":[222],"errors.":[223],"Furthermore":[224],"comment":[226],"algorithms\u2019":[229],"space":[230],"complexity.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":11}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}