{"id":"https://openalex.org/W2796614252","doi":"https://doi.org/10.1109/sas.2018.8336780","title":"Improved commissioning in indoor wireless networks through sensor fusion using clustering","display_name":"Improved commissioning in indoor wireless networks through sensor fusion using clustering","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2796614252","doi":"https://doi.org/10.1109/sas.2018.8336780","mag":"2796614252"},"language":"en","primary_location":{"id":"doi:10.1109/sas.2018.8336780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas.2018.8336780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Sensors Applications Symposium (SAS)","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/A5014063914","display_name":"Stijn Crul","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stijn Crul","raw_affiliation_strings":["Department of Electrical Engineering (ESAT) Ghent Technology Campus, DRAMCO, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT) Ghent Technology Campus, DRAMCO, Ghent, Belgium","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058161577","display_name":"Geoffrey Ottoy","orcid":"https://orcid.org/0000-0002-3690-2458"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geoffrey Ottoy","raw_affiliation_strings":["Department of Electrical Engineering (ESAT) Ghent Technology Campus, DRAMCO, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT) Ghent Technology Campus, DRAMCO, Ghent, Belgium","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016605260","display_name":"Liesbet Van der Perre","orcid":"https://orcid.org/0000-0002-9158-9628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liesbet Van der Perre","raw_affiliation_strings":["Department of Electrical Engineering (ESAT) Ghent Technology Campus, DRAMCO, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT) Ghent Technology Campus, DRAMCO, Ghent, Belgium","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067168072","display_name":"Lieven De Strycker","orcid":"https://orcid.org/0000-0001-8172-9650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lieven De Strycker","raw_affiliation_strings":["Department of Electrical Engineering (ESAT) Ghent Technology Campus, DRAMCO, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT) Ghent Technology Campus, DRAMCO, Ghent, Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014063914"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1658,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41941988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9965999722480774,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9890999794006348,"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":0.98089998960495,"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":0.6333303451538086},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6248795986175537},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6118583679199219},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44801706075668335},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4388103187084198},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.42849424481391907},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4159567952156067},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.31994378566741943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13865700364112854}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6333303451538086},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6248795986175537},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6118583679199219},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44801706075668335},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4388103187084198},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.42849424481391907},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4159567952156067},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.31994378566741943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13865700364112854},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sas.2018.8336780","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sas.2018.8336780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Sensors Applications Symposium (SAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/614135","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/614135/1/crul_SAS2018.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401954","display_name":"Lirias (KU Leuven)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99464096","host_organization_name":"KU Leuven","host_organization_lineage":["https://openalex.org/I99464096"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Sensors Applications Symposium (SAS), Seoul, 12-14 March 2018","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1507290626","https://openalex.org/W1893431417","https://openalex.org/W2002328435","https://openalex.org/W2009082127","https://openalex.org/W2029767187","https://openalex.org/W2054932015","https://openalex.org/W2056351724","https://openalex.org/W2063553463","https://openalex.org/W2097747115","https://openalex.org/W2099302229","https://openalex.org/W2106550043","https://openalex.org/W2112056172","https://openalex.org/W2122915435","https://openalex.org/W2146291192","https://openalex.org/W2169944198","https://openalex.org/W2172064003","https://openalex.org/W2339987761","https://openalex.org/W2404445015","https://openalex.org/W2411057395","https://openalex.org/W2514706030","https://openalex.org/W2538535315","https://openalex.org/W2556324853","https://openalex.org/W2556388949","https://openalex.org/W2562522049","https://openalex.org/W2586275356","https://openalex.org/W2734834614","https://openalex.org/W2735453164","https://openalex.org/W2736340677","https://openalex.org/W2755092530","https://openalex.org/W2765938132","https://openalex.org/W2767853740","https://openalex.org/W2774790455","https://openalex.org/W2963270286","https://openalex.org/W3098846496","https://openalex.org/W6703313979","https://openalex.org/W6713888873","https://openalex.org/W6741023430"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Commissioning":[0],"of":[1,14,33,41],"wireless":[2,43],"networks":[3],"can":[4,50,88,154],"be":[5,89,155],"a":[6,21,56,59,63,67,125],"burdensome":[7],"and":[8,28,110,149],"costly":[9],"task":[10],"when":[11],"the":[12,25,34,39,42,81,85,95,107,113,121,132,151],"number":[13],"nodes":[15],"increases":[16],"significantly.":[17],"This":[18],"paper":[19],"presents":[20],"method":[22],"to":[23,54,105,130],"reduce":[24],"required":[26,152],"effort":[27,153],"cost":[29],"by":[30,61,157],"automating":[31],"parts":[32],"commissioning":[35,96],"process,":[36],"based":[37,145],"on":[38,146],"location":[40,92,148],"devices.":[44],"We":[45,71],"have":[46],"investigated":[47],"how":[48,138,150],"we":[49],"use":[51],"sensor":[52,68,79,86],"data":[53,74,87,109,114],"create":[55],"\u201csignature\u201d":[57],"for":[58,94],"room":[60,117],"conducting":[62],"measurement":[64],"campaign":[65],"using":[66],"fusion":[69],"platform.":[70],"observed":[72],"similar":[73],"being":[75],"captured":[76],"from":[77,115],"each":[78,116],"within":[80],"same":[82],"room,":[83],"thus":[84],"used":[90],"as":[91],"information":[93],"process.":[97],"An":[98],"unsupervised":[99],"machine":[100],"learning":[101],"technique":[102],"was":[103,128],"chosen":[104],"process":[106],"collected":[108],"cluster":[111],"all":[112],"together.":[118],"After":[119],"validating":[120],"algorithm":[122],"in":[123],"simulation,":[124],"Proof-of-Concept":[126],"(PoC)":[127],"built":[129],"validate":[131],"system":[133],"empirically.":[134],"The":[135],"PoC":[136],"demonstrates":[137],"settings":[139],"are":[140],"pushed":[141],"towards":[142],"devices":[143],"automatically":[144],"their":[147],"reduced":[156],"automation.":[158]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}