{"id":"https://openalex.org/W3083474737","doi":"https://doi.org/10.1145/3409475","title":"Incentive Mechanisms for Crowdsensing","display_name":"Incentive Mechanisms for Crowdsensing","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3083474737","doi":"https://doi.org/10.1145/3409475","mag":"3083474737"},"language":"en","primary_location":{"id":"doi:10.1145/3409475","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409475","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-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/A5101544574","display_name":"Zhao Liu","orcid":"https://orcid.org/0000-0001-9808-2961"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Liu","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9808-2961","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["Hunan University and State University of New York, New Paltz, New York","Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University and State University of New York, New Paltz, New York","institution_ids":["https://openalex.org/I157455823"]},{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018453698","display_name":"Xu Zhou","orcid":"https://orcid.org/0000-0002-0764-0620"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhou","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024385275","display_name":"Ningbo Zhu","orcid":"https://orcid.org/0000-0001-7913-2740"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningbo Zhu","raw_affiliation_strings":["Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087894632","display_name":"Keqin Li","orcid":"https://orcid.org/0000-0001-5224-4048"},"institutions":[{"id":"https://openalex.org/I157455823","display_name":"SUNY New Paltz","ror":"https://ror.org/03j3dv688","country_code":"US","type":"education","lineage":["https://openalex.org/I157455823"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Keqin Li","raw_affiliation_strings":["Hunan University and State University of New York, New Paltz, New York","Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hunan University and State University of New York, New Paltz, New York","institution_ids":["https://openalex.org/I157455823"]},{"raw_affiliation_string":"Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2947,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90121873,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"4","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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":1.0,"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/T11182","display_name":"Auction Theory and Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9840999841690063,"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/computer-science","display_name":"Computer science","score":0.845039963722229},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.8282797336578369},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5082506537437439},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.46032941341400146},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4492104649543762},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.4468027949333191},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4357990622520447},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.4346199333667755},{"id":"https://openalex.org/keywords/mechanism-design","display_name":"Mechanism design","score":0.43286484479904175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32917267084121704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3005238175392151},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.11227753758430481},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07648700475692749},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07493811845779419}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.845039963722229},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.8282797336578369},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5082506537437439},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.46032941341400146},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4492104649543762},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.4468027949333191},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4357990622520447},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.4346199333667755},{"id":"https://openalex.org/C153517567","wikidata":"https://www.wikidata.org/wiki/Q26090","display_name":"Mechanism design","level":2,"score":0.43286484479904175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32917267084121704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3005238175392151},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.11227753758430481},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07648700475692749},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07493811845779419},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3409475","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3409475","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1705379314","display_name":null,"funder_award_id":"61772182, 61802032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1903760331","https://openalex.org/W1976535029","https://openalex.org/W1981769178","https://openalex.org/W1994112109","https://openalex.org/W2015473432","https://openalex.org/W2032596903","https://openalex.org/W2039922069","https://openalex.org/W2074520568","https://openalex.org/W2088940490","https://openalex.org/W2144169341","https://openalex.org/W2153701600","https://openalex.org/W2162161961","https://openalex.org/W2165998839","https://openalex.org/W2248931362","https://openalex.org/W2326421035","https://openalex.org/W2329460483","https://openalex.org/W2438328984","https://openalex.org/W2467851685","https://openalex.org/W2499215323","https://openalex.org/W2511450327","https://openalex.org/W2516316490","https://openalex.org/W2537484837","https://openalex.org/W2544497360","https://openalex.org/W2609560235","https://openalex.org/W2624729972","https://openalex.org/W2729523886","https://openalex.org/W2760893072","https://openalex.org/W2775562353","https://openalex.org/W2785849768","https://openalex.org/W2789121707","https://openalex.org/W2795102646","https://openalex.org/W2809450641","https://openalex.org/W2883197955","https://openalex.org/W2889895804","https://openalex.org/W2892081102","https://openalex.org/W2896098600","https://openalex.org/W2913239995","https://openalex.org/W2919477070","https://openalex.org/W2943584607","https://openalex.org/W2962684045","https://openalex.org/W2962707028","https://openalex.org/W2963044698","https://openalex.org/W3204547926"],"related_works":["https://openalex.org/W3125099825","https://openalex.org/W2066844180","https://openalex.org/W25115902","https://openalex.org/W2753408573","https://openalex.org/W4285147705","https://openalex.org/W1986338457","https://openalex.org/W3010890513","https://openalex.org/W4220726286","https://openalex.org/W3138271675","https://openalex.org/W1923149708"],"abstract_inverted_index":{"Crowdsensing":[0],"is":[1,34,114],"a":[2,7,115],"popular":[3],"method":[4],"that":[5,112,133],"leverages":[6],"crowd":[8],"of":[9,44,50,141,154,176],"sensor":[10],"users":[11,66,158],"to":[12,24,64,67],"collect":[13],"data.":[14],"For":[15,76],"many":[16,54],"crowdsensing":[17,79],"applications,":[18],"the":[19,31,38,42,69,74,88,93,98,119,134,138,150,155,174],"collected":[20,45,70],"raw":[21,71],"data":[22,46,72],"need":[23],"be":[25],"preprocessed":[26],"before":[27],"further":[28],"analysis,":[29],"and":[30,92,110,131,146,157,169],"preprocessing":[32,51],"work":[33],"mainly":[35],"done":[36],"by":[37],"crowdsourcer.":[39,75],"However,":[40],"as":[41],"amount":[43],"increases,":[47],"this":[48,57],"type":[49],"approach":[52],"has":[53,137],"disadvantages.":[55],"In":[56,97,118],"article,":[58],"we":[59,81,101,122,172],"construct":[60],"monetary-based":[61],"incentive":[62,104,125,135,164,178],"mechanisms":[63],"motivate":[65],"preprocess":[68],"for":[73],"two":[77,83],"common":[78],"scenarios,":[80],"propose":[82],"system":[84],"models,":[85],"which":[86],"are":[87,159],"single-task-multiple-participants":[89],"(STMP)":[90],"model":[91],"multiple-tasks-multiple-participants":[94],"(MTMP)":[95],"model.":[96],"STMP":[99],"model,":[100,121],"design":[102],"an":[103,124,129],"mechanism":[105,126,136],"based":[106,127],"on":[107,128],"game":[108],"theory":[109],"prove":[111],"there":[113],"Nash":[116],"equilibrium.":[117],"MTMP":[120],"develop":[123],"auction":[130],"demonstrate":[132],"desirable":[139],"properties":[140],"truthfulness,":[142],"individual":[143],"rationality,":[144],"profitability,":[145],"computational":[147],"efficiency.":[148],"Furthermore,":[149],"utility":[151],"maximization":[152],"problems":[153],"crowdsourcer":[156],"simultaneously":[160],"considered":[161],"in":[162],"our":[163,177],"mechanisms.":[165,179],"Through":[166],"theoretical":[167],"analysis":[168],"extensive":[170],"experiments,":[171],"evaluate":[173],"performance":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
