{"id":"https://openalex.org/W2012979070","doi":"https://doi.org/10.1109/siu.2012.6204824","title":"Recruitment selection strategies for crowdsourced sensing","display_name":"Recruitment selection strategies for crowdsourced sensing","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2012979070","doi":"https://doi.org/10.1109/siu.2012.6204824","mag":"2012979070"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2012.6204824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","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/A5069446334","display_name":"Bilgin Kosucu","orcid":"https://orcid.org/0000-0002-5569-3938"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Bilgin Kosucu","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059258053","display_name":"\u00d6zlem Durmaz \u0130ncel","orcid":"https://orcid.org/0000-0002-6229-7343"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ozlem Durmaz Incel","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047492236","display_name":"Cem Ersoy","orcid":"https://orcid.org/0000-0001-7632-7067"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Cem Ersoy","raw_affiliation_strings":["Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey"],"affiliations":[{"raw_affiliation_string":"Bilgisayar M\u00fchendisli\u011fi B\u00f6l\u00fcm\u00fc, Bo\u011fazi\u00e7i \u00dcniversitesi, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069446334"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08190942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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/participatory-sensing","display_name":"Participatory sensing","score":0.8251041769981384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7664865851402283},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6652854681015015},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6234014630317688},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6142507195472717},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.5892024040222168},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.566008448600769},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5052478909492493},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4901481568813324},{"id":"https://openalex.org/keywords/citizen-science","display_name":"Citizen science","score":0.4878871440887451},{"id":"https://openalex.org/keywords/citizen-journalism","display_name":"Citizen journalism","score":0.41489699482917786},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3778049647808075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3432888388633728},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32776936888694763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.246043860912323},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1662638783454895}],"concepts":[{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.8251041769981384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664865851402283},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6652854681015015},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6234014630317688},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6142507195472717},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.5892024040222168},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.566008448600769},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5052478909492493},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4901481568813324},{"id":"https://openalex.org/C197352329","wikidata":"https://www.wikidata.org/wiki/Q1093434","display_name":"Citizen science","level":2,"score":0.4878871440887451},{"id":"https://openalex.org/C203663800","wikidata":"https://www.wikidata.org/wiki/Q848979","display_name":"Citizen journalism","level":2,"score":0.41489699482917786},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3778049647808075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3432888388633728},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32776936888694763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.246043860912323},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1662638783454895},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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":1,"locations":[{"id":"doi:10.1109/siu.2012.6204824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2012.6204824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 20th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1505751295","https://openalex.org/W1553085258","https://openalex.org/W1593082705","https://openalex.org/W2104186783","https://openalex.org/W2115979655","https://openalex.org/W2123876335","https://openalex.org/W2130890731","https://openalex.org/W2140529724","https://openalex.org/W2157104853","https://openalex.org/W2169207653","https://openalex.org/W3021439089","https://openalex.org/W3145289772","https://openalex.org/W6630379040","https://openalex.org/W7051926465"],"related_works":["https://openalex.org/W2555391182","https://openalex.org/W2128179611","https://openalex.org/W2335852105","https://openalex.org/W3200156673","https://openalex.org/W3038471419","https://openalex.org/W2807814471","https://openalex.org/W2461975099","https://openalex.org/W4236893706","https://openalex.org/W2739771890","https://openalex.org/W2077002964"],"abstract_inverted_index":{"Participatory":[0],"sensing":[1,91],"is":[2,7,84,101,121],"a":[3,38,74],"new":[4],"paradigm":[5],"that":[6,103],"based":[8],"on":[9,27,51],"the":[10,21,57,70,81,87,131],"data":[11,59],"collection,":[12],"such":[13,37,53],"as":[14,54],"images,":[15],"air":[16],"and":[17,25,65,113,127],"noise":[18],"measurements,":[19],"through":[20,46],"embedded":[22],"digital":[23],"sensors":[24],"radios":[26],"current":[28],"smartphones":[29],"owned":[30],"by":[31],"voluntary":[32],"users.":[33],"The":[34,116],"participants":[35],"in":[36,86,134],"system":[39],"can":[40],"either":[41],"be":[42],"self-motivated":[43],"or":[44,60],"persuaded":[45],"incentives":[47],"with":[48],"amounts":[49],"depending":[50],"factors":[52],"quality":[55],"of":[56,72,76,89,118,136],"contributed":[58],"sensors,":[61],"availability,":[62],"reputation,":[63],"urgency":[64],"priority.":[66],"In":[67],"this":[68],"paper,":[69],"problem":[71],"selecting":[73],"subset":[75],"all":[77],"users":[78],"to":[79,109,123,129],"gain":[80],"maximum":[82],"merit":[83],"studied":[85],"context":[88],"urban":[90],"optimization.":[92],"Accordingly,":[93],"an":[94],"efficient":[95],"participant":[96],"selection,":[97],"i.e.":[98,106],"recruitment,":[99],"method":[100,133],"proposed":[102],"runs":[104],"online,":[105],"without":[107],"referring":[108],"high":[110],"computational":[111],"complexity":[112],"prohibitive":[114],"runtime.":[115],"performance":[117],"our":[119],"proposal":[120],"compared":[122],"random":[124,132],"selection":[125],"schemes":[126],"observed":[128],"outperform":[130],"terms":[135],"query":[137],"merits.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
