{"id":"https://openalex.org/W3048448329","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162727","title":"Handling Device Heterogeneity in Wi-Fi based Indoor Positioning Systems","display_name":"Handling Device Heterogeneity in Wi-Fi based Indoor Positioning Systems","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3048448329","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162727","mag":"3048448329"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps50562.2020.9162727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5101660805","display_name":"Yongyong Wei","orcid":"https://orcid.org/0000-0002-0674-8349"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yongyong Wei","raw_affiliation_strings":["McMaster University, 1280 Main St. W., Hamilton, ON, Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University, 1280 Main St. W., Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056442083","display_name":"Rong Zheng","orcid":"https://orcid.org/0000-0003-4070-075X"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rong Zheng","raw_affiliation_strings":["McMaster University, 1280 Main St. W., Hamilton, ON, Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University, 1280 Main St. W., Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101660805"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.822,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72616846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"556","last_page":"561"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9872999787330627,"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/T10860","display_name":"Speech and Audio Processing","score":0.978600025177002,"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/rss","display_name":"RSS","score":0.883764922618866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8045995235443115},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.7279004454612732},{"id":"https://openalex.org/keywords/signal-strength","display_name":"Signal strength","score":0.612817108631134},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5644492506980896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5613113045692444},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5559871196746826},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5090438723564148},{"id":"https://openalex.org/keywords/indoor-positioning-system","display_name":"Indoor positioning system","score":0.4997901916503906},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.4961417615413666},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4658214747905731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42966726422309875},{"id":"https://openalex.org/keywords/hybrid-positioning-system","display_name":"Hybrid positioning system","score":0.4225558340549469},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35077401995658875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.349979966878891},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.3143417239189148},{"id":"https://openalex.org/keywords/positioning-system","display_name":"Positioning system","score":0.26829224824905396},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23022454977035522},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.19486692547798157},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.10077989101409912},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07827991247177124}],"concepts":[{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.883764922618866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8045995235443115},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7279004454612732},{"id":"https://openalex.org/C176808163","wikidata":"https://www.wikidata.org/wiki/Q17105794","display_name":"Signal strength","level":3,"score":0.612817108631134},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5644492506980896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5613113045692444},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5559871196746826},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5090438723564148},{"id":"https://openalex.org/C2777486483","wikidata":"https://www.wikidata.org/wiki/Q6026477","display_name":"Indoor positioning system","level":3,"score":0.4997901916503906},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4961417615413666},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4658214747905731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42966726422309875},{"id":"https://openalex.org/C187394410","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Hybrid positioning system","level":4,"score":0.4225558340549469},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35077401995658875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.349979966878891},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3143417239189148},{"id":"https://openalex.org/C2778603505","wikidata":"https://www.wikidata.org/wiki/Q17141406","display_name":"Positioning system","level":3,"score":0.26829224824905396},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23022454977035522},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.19486692547798157},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.10077989101409912},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07827991247177124},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps50562.2020.9162727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1546169424","https://openalex.org/W1575468727","https://openalex.org/W1777903561","https://openalex.org/W1989433929","https://openalex.org/W2005266231","https://openalex.org/W2028721837","https://openalex.org/W2035136797","https://openalex.org/W2062858887","https://openalex.org/W2118099695","https://openalex.org/W2130996742","https://openalex.org/W2131336893","https://openalex.org/W2170102584","https://openalex.org/W2278572312","https://openalex.org/W2492689404","https://openalex.org/W2518733178","https://openalex.org/W2751571889","https://openalex.org/W2896245277","https://openalex.org/W2919115771","https://openalex.org/W2963577574","https://openalex.org/W2964029185","https://openalex.org/W2964229939","https://openalex.org/W2976075487","https://openalex.org/W6629804754","https://openalex.org/W6634427371"],"related_works":["https://openalex.org/W2162859609","https://openalex.org/W4200318234","https://openalex.org/W2418090752","https://openalex.org/W2114873732","https://openalex.org/W2906324239","https://openalex.org/W4282920350","https://openalex.org/W4389544272","https://openalex.org/W4313353693","https://openalex.org/W1541136496","https://openalex.org/W1982482322"],"abstract_inverted_index":{"Wi-Fi":[0,19],"Received":[1],"Signal":[2],"Strength":[3],"(RSS)":[4],"based":[5],"indoor":[6],"localization":[7,80],"is":[8,34,93],"promising":[9],"and":[10,47,86,102,125],"widely":[11],"investigated":[12],"due":[13,54],"to":[14,27,55,74],"the":[15,49],"pervasive":[16],"deployment":[17],"of":[18,131],"Access":[20],"Points":[21],"(APs).":[22],"However,":[23],"one":[24],"major":[25],"challenge":[26],"build":[28],"a":[29,104],"practical":[30,64],"Indoor":[31],"Positioning":[32],"System":[33],"that":[35,120,130],"end":[36],"users":[37],"usually":[38],"carry":[39],"different":[40,43],"devices":[41],"with":[42,113],"received":[44],"signal":[45],"characteristics,":[46],"thus":[48],"performance":[50],"can":[51],"be":[52],"degraded":[53],"this":[56],"device":[57,76],"heterogeneity.":[58],"Existing":[59],"solutions":[60,73,122],"are":[61,123],"either":[62],"not":[63],"or":[65],"have":[66],"limited":[67],"accuracy.":[68],"We":[69],"propose":[70],"two":[71,132],"novel":[72],"mitigate":[75],"heterogeneity":[77],"for":[78],"representative":[79],"approaches":[81,134],"using":[82],"Gaussian":[83,96],"Process":[84,97],"regression":[85,98],"neural":[87,114],"network,":[88],"respectively.":[89],"The":[90,107],"first":[91],"solution":[92,109],"built":[94],"upon":[95],"by":[99],"jointly":[100],"calibrating":[101],"localizing":[103],"target":[105],"device.":[106],"second":[108],"utilizes":[110],"adversarial":[111],"training":[112],"network.":[115],"Real":[116],"world":[117],"experiments":[118],"show":[119],"both":[121],"effective":[124],"achieve":[126],"higher":[127],"accuracy":[128],"than":[129],"baseline":[133],"in":[135],"most":[136],"cases.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}