{"id":"https://openalex.org/W2596901145","doi":"https://doi.org/10.1109/wisnet.2017.7878758","title":"RSSI-based localization with minimal infrastructure using multivariate statistic techniques","display_name":"RSSI-based localization with minimal infrastructure using multivariate statistic techniques","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2596901145","doi":"https://doi.org/10.1109/wisnet.2017.7878758","mag":"2596901145"},"language":"en","primary_location":{"id":"doi:10.1109/wisnet.2017.7878758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wisnet.2017.7878758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)","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/A5011094614","display_name":"Felix Pflaum","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Pflaum","raw_affiliation_strings":["Institute for Electronics Engineering, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Electronics Engineering, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034282374","display_name":"Stefan Erhardt","orcid":"https://orcid.org/0000-0003-2959-7747"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Erhardt","raw_affiliation_strings":["Institute for Electronics Engineering, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Electronics Engineering, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070760948","display_name":"Robert Weigel","orcid":"https://orcid.org/0000-0002-3131-1800"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Robert Weigel","raw_affiliation_strings":["Institute for Electronics Engineering, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Electronics Engineering, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019989632","display_name":"Alexander Koelpin","orcid":"https://orcid.org/0000-0002-9071-5661"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Koelpin","raw_affiliation_strings":["Institute for Electronics Engineering, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Electronics Engineering, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011094614"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.4382,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64155635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2017","issue":null,"first_page":"69","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9922000169754028,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/statistic","display_name":"Statistic","score":0.698438286781311},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6861544251441956},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.6105697751045227},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5710540413856506},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5687578320503235},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5641875863075256},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5575940608978271},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5367855429649353},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4640668034553528},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44268709421157837},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42332252860069275},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3568122982978821},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.2906014919281006},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28729307651519775},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20838528871536255},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20305335521697998},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18410292267799377},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11769241094589233}],"concepts":[{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.698438286781311},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6861544251441956},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.6105697751045227},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5710540413856506},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5687578320503235},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5641875863075256},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5575940608978271},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5367855429649353},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4640668034553528},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44268709421157837},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42332252860069275},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3568122982978821},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.2906014919281006},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28729307651519775},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20838528871536255},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20305335521697998},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18410292267799377},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11769241094589233},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wisnet.2017.7878758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wisnet.2017.7878758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet)","raw_type":"proceedings-article"},{"id":"pmh:oai:tore.tuhh.de:11420/6594","is_oa":false,"landing_page_url":"http://hdl.handle.net/11420/6594","pdf_url":null,"source":{"id":"https://openalex.org/S4306401751","display_name":"tub.dok (Hamburg University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I884043246","host_organization_name":"Hamburg University of Technology","host_organization_lineage":["https://openalex.org/I884043246"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"mag:2746039007","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/201702230632890079","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330618","display_name":"Infineon Technologies","ror":"https://ror.org/005kw6t15"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1987243426","https://openalex.org/W2014530707","https://openalex.org/W2038971946","https://openalex.org/W2074186762","https://openalex.org/W2116019577","https://openalex.org/W2154891193"],"related_works":["https://openalex.org/W4402452563","https://openalex.org/W2250488071","https://openalex.org/W2356150353","https://openalex.org/W2359776416","https://openalex.org/W2018643641","https://openalex.org/W2380744779","https://openalex.org/W2406638334","https://openalex.org/W2967867994","https://openalex.org/W2469878540","https://openalex.org/W2353788488"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,32,54,71],"new":[4],"approach":[5],"to":[6,43],"localization":[7],"of":[8,21,39,49],"mobile":[9],"nodes":[10],"in":[11,31,75],"wireless":[12],"sensor":[13],"networks":[14],"is":[15,64,68],"presented":[16],"which":[17],"utilizes":[18],"the":[19,22,37,44,76],"measurement":[20],"received":[23,45],"signal":[24],"strength":[25],"indicator":[26],"by":[27,70],"multiple":[28],"receivers":[29,52],"concentrated":[30],"small":[33],"area":[34],"and":[35],"applies":[36],"technique":[38],"linear":[40],"discriminant":[41],"analysis":[42],"data.":[46],"The":[47],"concept":[48],"gathering":[50],"all":[51],"at":[53],"single":[55],"spot":[56],"provides":[57],"great":[58],"flexibility,":[59],"while":[60],"good":[61],"spatial":[62],"resolution":[63],"still":[65],"achieved.":[66],"This":[67],"demonstrated":[69],"test":[72],"network":[73],"operating":[74],"sub-GHz-range":[77],"around":[78],"868":[79],"MHz.":[80]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}