{"id":"https://openalex.org/W2611043767","doi":"https://doi.org/10.1109/percomw.2017.7917581","title":"Localisation based on Wi-Fi fingerprints: A crowdsensing approach with a device-to-device aim","display_name":"Localisation based on Wi-Fi fingerprints: A crowdsensing approach with a device-to-device aim","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2611043767","doi":"https://doi.org/10.1109/percomw.2017.7917581","mag":"2611043767"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2017.7917581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2017.7917581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5088355706","display_name":"Patrice Raveneau","orcid":"https://orcid.org/0000-0003-1275-9738"},"institutions":[{"id":"https://openalex.org/I78744979","display_name":"La Rochelle Universit\u00e9","ror":"https://ror.org/04mv1z119","country_code":"FR","type":"education","lineage":["https://openalex.org/I78744979"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Patrice Raveneau","raw_affiliation_strings":["Univ La Rochelle - L3i Lab - EA 2118, La Rochelle, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ La Rochelle - L3i Lab - EA 2118, La Rochelle, France","institution_ids":["https://openalex.org/I78744979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019898403","display_name":"St\u00e9phane d'Alu","orcid":null},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stephane D'Alu","raw_affiliation_strings":["Universite de Lyon, Lyon, Auvergne-Rh\u00c3\u00b4ne-Alpes, FR","Universite de Lyon, Lyon, Auvergne-Rh\u00f4ne-Alpes, FR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite de Lyon, Lyon, Auvergne-Rh\u00c3\u00b4ne-Alpes, FR","institution_ids":["https://openalex.org/I100532134"]},{"raw_affiliation_string":"Universite de Lyon, Lyon, Auvergne-Rh\u00f4ne-Alpes, FR","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086263228","display_name":"Herv\u00e9 Rivano","orcid":"https://orcid.org/0000-0001-6112-7468"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Herve Rivano","raw_affiliation_strings":["Universit\u00e9 de Lyon, INRIA, INSA-Lyon, CITI-INRIA, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lyon, INRIA, INSA-Lyon, CITI-INRIA, France","institution_ids":["https://openalex.org/I100532134","https://openalex.org/I1326498283","https://openalex.org/I48430043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7685,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65430933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"321","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9990000128746033,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.828182578086853},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.8082050085067749},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.681904673576355},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6510082483291626},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5073327422142029},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.47105786204338074},{"id":"https://openalex.org/keywords/location-data","display_name":"Location data","score":0.4469536542892456},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.4260391592979431},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4126094579696655},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4124617576599121},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.2684426009654999},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2671043276786804},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18171557784080505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16599315404891968},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08346545696258545}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828182578086853},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.8082050085067749},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.681904673576355},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6510082483291626},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5073327422142029},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.47105786204338074},{"id":"https://openalex.org/C2988186277","wikidata":"https://www.wikidata.org/wiki/Q5915793","display_name":"Location data","level":2,"score":0.4469536542892456},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.4260391592979431},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4126094579696655},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4124617576599121},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2684426009654999},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2671043276786804},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18171557784080505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16599315404891968},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08346545696258545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomw.2017.7917581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2017.7917581","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1981831056","https://openalex.org/W1983301216","https://openalex.org/W2142216726","https://openalex.org/W2154553365","https://openalex.org/W2201355356","https://openalex.org/W2253517037","https://openalex.org/W2475656729","https://openalex.org/W2524678515"],"related_works":["https://openalex.org/W4381785531","https://openalex.org/W4205647079","https://openalex.org/W2963453078","https://openalex.org/W2979523842","https://openalex.org/W2748934360","https://openalex.org/W4210659740","https://openalex.org/W2567950790","https://openalex.org/W4320029465","https://openalex.org/W3125690517","https://openalex.org/W2909693386"],"abstract_inverted_index":{"Crowdsensing":[0],"is":[1,41,54],"for":[2],"a":[3,6,126,159,193],"few":[4],"years":[5],"new":[7,160],"way":[8],"to":[9,23,36,43,62,90,105,120,134,172,181],"gather":[10,26],"information.":[11],"Most":[12],"smartphones":[13],"and":[14,25,111,137,165,190],"mobile":[15,132],"operating":[16],"systems":[17],"provide":[18,173],"applications":[19],"which":[20],"are":[21,73],"able":[22],"sense":[24],"several":[27,47],"data":[28,81,94,110,130],"from":[29,46,131],"the":[30,33,55,64,107,122,146,178,183,199],"environment":[31],"of":[32,57,67,76,85,124,185],"device.":[34],"Thanks":[35],"this":[37,77,114,142],"collected":[38,80,129],"data,":[39,143],"it":[40],"possible":[42,88],"combine":[44,135],"information":[45],"probes.":[48],"A":[49],"very":[50],"common":[51],"use":[52],"case":[53],"collection":[56],"network":[58,138],"scans":[59,139,168],"with":[60],"location":[61,136],"help":[63],"localisation":[65],"feature":[66],"these":[68,93],"devices.":[69],"Nevertheless,":[70],"most":[71],"users":[72,133,189],"not":[74],"aware":[75],"spying.":[78],"The":[79],"might":[82],"represent":[83],"infringements":[84],"privacy.":[86],"One":[87],"solution":[89],"keep":[91],"gathering":[92,195],"while":[95,152],"maintaining":[96],"privacy":[97],"would":[98],"consist":[99],"in":[100,103],"device-to-device":[101],"communications":[102],"order":[104],"break":[106],"links":[108],"between":[109],"users.":[112,200],"In":[113],"article":[115],"we":[116,144,149],"propose":[117],"an":[118],"approach":[119],"test":[121,145],"feasibility":[123],"such":[125],"system.":[127],"We":[128,156,176],"data.":[140],"With":[141],"accuracy":[147],"level":[148],"can":[150,197],"reach":[151],"using":[153],"Wi-Fi":[154],"localisation.":[155],"analyse":[157,177],"how":[158,166],"measure":[161],"should":[162,169],"be":[163,170],"pushed":[164],"many":[167],"realised":[171],"location-based":[174],"Wi-Fi.":[175],"minimal":[179],"dataset":[180],"cover":[182],"set":[184],"locations":[186],"covered":[187],"by":[188],"prove":[191],"that":[192],"multi-user":[194],"system":[196],"benefit":[198]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}