{"id":"https://openalex.org/W3009504321","doi":"https://doi.org/10.3390/s20051443","title":"Adaptive Indoor Area Localization for Perpetual Crowdsourced Data Collection","display_name":"Adaptive Indoor Area Localization for Perpetual Crowdsourced Data Collection","publication_year":2020,"publication_date":"2020-03-06","ids":{"openalex":"https://openalex.org/W3009504321","doi":"https://doi.org/10.3390/s20051443","mag":"3009504321","pmid":"https://pubmed.ncbi.nlm.nih.gov/32155807"},"language":"en","primary_location":{"id":"doi:10.3390/s20051443","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051443","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s20051443","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078845668","display_name":"Marius Laska","orcid":"https://orcid.org/0000-0001-9855-2898"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marius Laska","raw_affiliation_strings":["Geodetic Institute and Chair for Computing in Civil Engineering &amp; Geo Information Systems, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9855-2898","affiliations":[{"raw_affiliation_string":"Geodetic Institute and Chair for Computing in Civil Engineering &amp; Geo Information Systems, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000085993","display_name":"J\u00f6rg Blankenbach","orcid":"https://orcid.org/0000-0002-5700-8818"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Blankenbach","raw_affiliation_strings":["Geodetic Institute and Chair for Computing in Civil Engineering &amp; Geo Information Systems, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5700-8818","affiliations":[{"raw_affiliation_string":"Geodetic Institute and Chair for Computing in Civil Engineering &amp; Geo Information Systems, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045535958","display_name":"Ralf Klamma","orcid":"https://orcid.org/0000-0002-2296-3401"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ralf Klamma","raw_affiliation_strings":["Advanced Community Information Systems Group (ACIS), RWTH Aachen University, Lehrstuhl Informatik 5, Ahornstr. 55, 52074 Aachen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-2296-3401","affiliations":[{"raw_affiliation_string":"Advanced Community Information Systems Group (ACIS), RWTH Aachen University, Lehrstuhl Informatik 5, Ahornstr. 55, 52074 Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078845668"],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.0404,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.75985277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":"5","first_page":"1443","last_page":"1443"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10860","display_name":"Speech and Audio Processing","score":0.982200026512146,"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":0.7619349956512451},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6369677186012268},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.630854606628418},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5877184867858887},{"id":"https://openalex.org/keywords/floor-plan","display_name":"Floor plan","score":0.5677685737609863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517099142074585},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49568355083465576},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49034571647644043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4654472768306732},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.461439311504364},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4391997456550598},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4212007224559784},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10936218500137329}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7619349956512451},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6369677186012268},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.630854606628418},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5877184867858887},{"id":"https://openalex.org/C61056293","wikidata":"https://www.wikidata.org/wiki/Q18965","display_name":"Floor plan","level":2,"score":0.5677685737609863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517099142074585},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49568355083465576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49034571647644043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4654472768306732},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.461439311504364},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4391997456550598},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4212007224559784},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10936218500137329},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s20051443","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051443","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32155807","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32155807","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:eb184bdcf7e04fd384a812a5fdd79958","is_oa":true,"landing_page_url":"https://doaj.org/article/eb184bdcf7e04fd384a812a5fdd79958","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 5, p 1443 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/5/1443/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20051443","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7085741","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7085741","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"doi:10.18154/rwth-2020-05726","is_oa":true,"landing_page_url":"https://doi.org/10.18154/rwth-2020-05726","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.3390/s20051443","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20051443","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1497337727","https://openalex.org/W1568391295","https://openalex.org/W2005598601","https://openalex.org/W2062956715","https://openalex.org/W2143228105","https://openalex.org/W2166315077","https://openalex.org/W2240192984","https://openalex.org/W2278572312","https://openalex.org/W2280480556","https://openalex.org/W2309512289","https://openalex.org/W2316879520","https://openalex.org/W2342539491","https://openalex.org/W2472192293","https://openalex.org/W2510063444","https://openalex.org/W2515257265","https://openalex.org/W2552911271","https://openalex.org/W2557998141","https://openalex.org/W2561891161","https://openalex.org/W2565389564","https://openalex.org/W2606067159","https://openalex.org/W2607216769","https://openalex.org/W2607595839","https://openalex.org/W2609031099","https://openalex.org/W2621353408","https://openalex.org/W2622826443","https://openalex.org/W2725946498","https://openalex.org/W2728643422","https://openalex.org/W2733111670","https://openalex.org/W2742686197","https://openalex.org/W2753866421","https://openalex.org/W2762342550","https://openalex.org/W2767434593","https://openalex.org/W2769163648","https://openalex.org/W2771342141","https://openalex.org/W2774684174","https://openalex.org/W2774692875","https://openalex.org/W2782845509","https://openalex.org/W2792097062","https://openalex.org/W2801853815","https://openalex.org/W2804371716","https://openalex.org/W2807038563","https://openalex.org/W2810275912","https://openalex.org/W2811018991","https://openalex.org/W2811258534","https://openalex.org/W2887238168","https://openalex.org/W2900005812","https://openalex.org/W2901566077","https://openalex.org/W2904307313","https://openalex.org/W2915622965","https://openalex.org/W2918105197","https://openalex.org/W2945597712","https://openalex.org/W2964029185","https://openalex.org/W2989589422","https://openalex.org/W2990414961","https://openalex.org/W4234300935","https://openalex.org/W4254449218","https://openalex.org/W4300378195","https://openalex.org/W6698539447","https://openalex.org/W6725864123","https://openalex.org/W6740302474"],"related_works":["https://openalex.org/W4361804730","https://openalex.org/W2142113611","https://openalex.org/W2334467465","https://openalex.org/W2018387840","https://openalex.org/W2087870008","https://openalex.org/W2162534555","https://openalex.org/W2752178021","https://openalex.org/W2045629210","https://openalex.org/W2143024819","https://openalex.org/W2964201926"],"abstract_inverted_index":{"The":[0,178],"accuracy":[1],"of":[2,12,38,74,141],"fingerprinting-based":[3],"indoor":[4],"localization":[5,51,63,166],"correlates":[6],"with":[7,35,47],"the":[8,31,36,75,106,155,174,192],"quality":[9],"and":[10,24,111,127,136],"up-to-dateness":[11],"collected":[13],"training":[14,77,93,108,176],"data.":[15,78,177],"Perpetual":[16],"crowdsourced":[17],"data":[18,28,40,86,94,109,115],"collection":[19,33],"reduces":[20],"manual":[21],"labeling":[22],"effort":[23],"provides":[25],"a":[26,66,128],"fresh":[27],"base.":[29],"However,":[30],"decentralized":[32],"comes":[34],"cost":[37],"heterogeneous":[39],"that":[41,71,96,104,131,168,190],"causes":[42],"performance":[43,137],"degradation.":[44],"In":[45],"settings":[46],"imperfect":[48],"data,":[49],"area":[50,62,142,156,165],"can":[52],"provide":[53,163,184],"higher":[54,185],"positioning":[55],"guarantees":[56],"than":[57],"exact":[58,193],"position":[59],"estimation.":[60],"Existing":[61],"solutions":[64],"employ":[65],"static":[67],"segmentation":[68,101,126],"into":[69],"areas":[70],"is":[72,81,102,116],"independent":[73],"available":[76],"This":[79],"approach":[80],"not":[82],"applicable":[83],"for":[84,122],"crowdsoucred":[85],"collection,":[87],"which":[88],"features":[89],"an":[90,120,164],"unbalanced":[91],"spatial":[92],"distribution":[95,110],"evolves":[97],"over":[98],"time.":[99],"A":[100],"required":[103],"utilizes":[105],"existing":[107],"adapts":[112,169],"once":[113],"new":[114],"accumulated.":[117],"We":[118,144,158],"propose":[119],"algorithm":[121],"data-aware":[123],"floor":[124],"plan":[125],"selection":[129],"metric":[130],"balances":[132],"expressiveness":[133],"(information":[134],"gain)":[135],"(correctly":[138],"classified":[139],"examples)":[140],"classifiers.":[143,157],"utilize":[145],"supervised":[146],"machine":[147],"learning,":[148,152],"in":[149],"particular,":[150],"deep":[151],"to":[153,161,173,183,188],"train":[154],"demonstrate":[159],"how":[160],"regularly":[162],"model":[167],"its":[170],"prediction":[171],"space":[172],"accumulating":[175],"resulting":[179],"models":[180,189],"are":[181],"shown":[182],"reliability":[186],"compared":[187],"pinpoint":[191],"position.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-03-13T00:00:00"}
