{"id":"https://openalex.org/W2785779392","doi":"https://doi.org/10.1109/vtcfall.2017.8288149","title":"Online Pricing Crowdsensed Fingerprints for Accurate Indoor Localization","display_name":"Online Pricing Crowdsensed Fingerprints for Accurate Indoor Localization","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2785779392","doi":"https://doi.org/10.1109/vtcfall.2017.8288149","mag":"2785779392"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2017.8288149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018442100","display_name":"Xiaohua Tian","orcid":"https://orcid.org/0000-0003-0716-3323"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Tian","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067111051","display_name":"Wencan Zhang","orcid":"https://orcid.org/0000-0001-8657-2883"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wencan Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101595308","display_name":"Jingchao Wang","orcid":"https://orcid.org/0000-0002-4719-6173"},"institutions":[{"id":"https://openalex.org/I4210159156","display_name":"System Equipment (China)","ror":"https://ror.org/04m2bcn74","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159156"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingchao Wang","raw_affiliation_strings":["Institute of China Electronic Equipment System Engineering Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of China Electronic Equipment System Engineering Corporation","institution_ids":["https://openalex.org/I4210159156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397217","display_name":"Wenxin Li","orcid":"https://orcid.org/0000-0003-4329-4136"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Li","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107062116","display_name":"Shitao Li","orcid":"https://orcid.org/0000-0003-4276-6373"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shitao Li","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064784594","display_name":"Xinyu Wu","orcid":"https://orcid.org/0000-0003-1310-1452"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wu","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101482568","display_name":"Yucheng Yang","orcid":"https://orcid.org/0009-0002-6328-6360"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3792,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55950366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9952999949455261,"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/regret","display_name":"Regret","score":0.7996547222137451},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7449396848678589},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.5081615447998047},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.46869516372680664},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.44061192870140076},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4391443133354187},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4054338037967682},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2718362808227539},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09352821111679077}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.7996547222137451},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7449396848678589},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.5081615447998047},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.46869516372680664},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.44061192870140076},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4391443133354187},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4054338037967682},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2718362808227539},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09352821111679077},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C133425853","wikidata":"https://www.wikidata.org/wiki/Q60571","display_name":"Neoclassical economics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":1,"locations":[{"id":"doi:10.1109/vtcfall.2017.8288149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","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":23,"referenced_works":["https://openalex.org/W76788353","https://openalex.org/W1506974941","https://openalex.org/W1553085258","https://openalex.org/W1601808502","https://openalex.org/W1969554887","https://openalex.org/W1997079297","https://openalex.org/W2003738415","https://openalex.org/W2032596903","https://openalex.org/W2039922069","https://openalex.org/W2051376734","https://openalex.org/W2064783900","https://openalex.org/W2077723394","https://openalex.org/W2109339818","https://openalex.org/W2120826095","https://openalex.org/W2143228105","https://openalex.org/W2148825261","https://openalex.org/W2170240475","https://openalex.org/W2203128229","https://openalex.org/W2326421035","https://openalex.org/W3101459452","https://openalex.org/W4292022450","https://openalex.org/W6603101531","https://openalex.org/W6681723013"],"related_works":["https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W1947085858","https://openalex.org/W2174986909","https://openalex.org/W2527791220","https://openalex.org/W2101991911","https://openalex.org/W2155070487","https://openalex.org/W4311589891","https://openalex.org/W3123835761","https://openalex.org/W118270247"],"abstract_inverted_index":{"Fingerprinting":[0],"localization":[1,113],"systems":[2],"are":[3,182,186],"outstanding":[4],"for":[5,17,34,90,122,165,177],"its":[6],"convenient":[7],"deployment,":[8],"where":[9,161],"a":[10,19,39,67,133],"major":[11],"challenge":[12],"is":[13,32,59,132],"the":[14,77,84,95,105,108,129,145,162,166],"high":[15],"cost":[16],"collecting":[18],"huge":[20],"number":[21],"of":[22,86,107,168],"received":[23],"signal":[24],"strength":[25],"(RSS)":[26],"fingerprints.":[27],"Mobile":[28],"crowdsensing":[29],"(MCS)":[30],"paradigm":[31],"cost-effective":[33],"large-scale":[35],"data":[36,41,57,68],"collection;":[37],"however,":[38],"quality-aware":[40],"pricing":[42,69,120,163],"mechanism":[43],"dedicated":[44,71],"to":[45,72,112,144,154,188],"MCSed":[46,73,123],"fingerprints":[47,74,87,109,179],"accommodating":[48],"practical":[49],"application":[50,155],"situations":[51],"including":[52],"budget":[53,159,173,175],"constraints":[54],"and":[55,101,174],"online":[56,78,119],"submission":[58],"still":[60],"unavailable.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65,97,150],"present":[66,117],"scheme":[70,121,153],"by":[75],"enhancing":[76],"learning":[79],"technique.":[80],"We":[81,115],"first":[82],"reveal":[83],"principle":[85],"quality":[88,180],"assessment":[89],"accurate":[91],"localization.":[92],"Based":[93],"on":[94],"principle,":[96],"design":[98],"corresponding":[99],"loss":[100],"regret":[102,169],"function,":[103],"reflecting":[104],"values":[106],"with":[110,157,171],"respect":[111],"accuracy.":[114],"then":[116],"an":[118,137],"data,":[124],"which":[125],"results":[126,185],"in":[127],"that":[128],"worker's":[130],"payoff":[131],"random":[134],"variable":[135],"following":[136],"optimal":[138],"probability":[139],"density":[140],"function":[141],"(PDF)":[142],"leading":[143],"minimum":[146],"expected":[147],"regret.":[148],"Further,":[149],"extend":[151],"our":[152,190],"scenarios":[156,167],"different":[158],"settings,":[160],"strategies":[164],"minimization":[170,176],"fixed":[172],"certain":[178],"level":[181],"investigated.":[183],"Experimental":[184],"presented":[187],"verify":[189],"theoretical":[191],"analysis.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}