{"id":"https://openalex.org/W4285108995","doi":"https://doi.org/10.1109/tcss.2022.3171566","title":"Walrasian Equilibrium-Based Pricing Mechanism for Health-Data Crowdsensing Under Information Asymmetry","display_name":"Walrasian Equilibrium-Based Pricing Mechanism for Health-Data Crowdsensing Under Information Asymmetry","publication_year":2022,"publication_date":"2022-05-11","ids":{"openalex":"https://openalex.org/W4285108995","doi":"https://doi.org/10.1109/tcss.2022.3171566"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2022.3171566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3171566","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","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/A5101434043","display_name":"Xinxin Guo","orcid":"https://orcid.org/0000-0003-3066-2438"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinxin Guo","raw_affiliation_strings":["School of Management, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049992511","display_name":"Nan Kong","orcid":"https://orcid.org/0000-0002-4047-3414"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nan Kong","raw_affiliation_strings":["Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067049252","display_name":"Haiyan Wang","orcid":"https://orcid.org/0000-0002-7837-143X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Wang","raw_affiliation_strings":["School of Economics and Management, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101434043"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":2.171,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90039886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"10","issue":"3","first_page":"1277","last_page":"1287"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980000257492065,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.8711692094802856},{"id":"https://openalex.org/keywords/information-asymmetry","display_name":"Information asymmetry","score":0.6877981424331665},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.6264647841453552},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6218847036361694},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.47231125831604004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4615146815776825},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.389227956533432},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.36624014377593994},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.34739136695861816},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21624326705932617},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.123080313205719}],"concepts":[{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.8711692094802856},{"id":"https://openalex.org/C137577040","wikidata":"https://www.wikidata.org/wiki/Q431965","display_name":"Information asymmetry","level":2,"score":0.6877981424331665},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.6264647841453552},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6218847036361694},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.47231125831604004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4615146815776825},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.389227956533432},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.36624014377593994},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.34739136695861816},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21624326705932617},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.123080313205719},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2022.3171566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2022.3171566","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.44999998807907104,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G6224096861","display_name":null,"funder_award_id":"71531004","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":42,"referenced_works":["https://openalex.org/W1583497301","https://openalex.org/W1975378045","https://openalex.org/W1988329549","https://openalex.org/W2227813210","https://openalex.org/W2230620929","https://openalex.org/W2325602681","https://openalex.org/W2438328984","https://openalex.org/W2465438340","https://openalex.org/W2562244919","https://openalex.org/W2580332477","https://openalex.org/W2589699175","https://openalex.org/W2591888378","https://openalex.org/W2596904372","https://openalex.org/W2615191079","https://openalex.org/W2735308426","https://openalex.org/W2762955383","https://openalex.org/W2769390678","https://openalex.org/W2777817591","https://openalex.org/W2790818738","https://openalex.org/W2795102035","https://openalex.org/W2803074427","https://openalex.org/W2884971059","https://openalex.org/W2887763360","https://openalex.org/W2892362369","https://openalex.org/W2916165350","https://openalex.org/W2943381304","https://openalex.org/W2943584607","https://openalex.org/W2949421622","https://openalex.org/W2959640473","https://openalex.org/W2967400360","https://openalex.org/W2974078292","https://openalex.org/W2985215140","https://openalex.org/W2999128437","https://openalex.org/W3014136593","https://openalex.org/W3021501326","https://openalex.org/W3031631102","https://openalex.org/W3157313163","https://openalex.org/W3173329358","https://openalex.org/W3183389723","https://openalex.org/W3185496604","https://openalex.org/W4234277722","https://openalex.org/W4240896209"],"related_works":["https://openalex.org/W2563347706","https://openalex.org/W2608033733","https://openalex.org/W4287604253","https://openalex.org/W1894261276","https://openalex.org/W2168877220","https://openalex.org/W2295662171","https://openalex.org/W4381785531","https://openalex.org/W4360776667","https://openalex.org/W3098657080","https://openalex.org/W4232477044"],"abstract_inverted_index":{"While":[0],"prior":[1],"studies":[2],"have":[3],"designed":[4,194],"incentive":[5],"mechanisms":[6],"to":[7,11,18,95,141,171,195,207],"attract":[8],"the":[9,29,46,55,63,78,84,97,108,114,125,129,143,165,172,177,184,197,209,212,218],"public":[10],"share":[12],"their":[13],"collected":[14],"data,":[15],"they":[16],"tend":[17],"ignore":[19],"information":[20,32,48],"asymmetry":[21],"between":[22,66,100,131],"data":[23,56],"requesters":[24,102,159],"and":[25,42,69,83,103,133,135,160,216,229],"collectors.":[26,104,161],"In":[27,58],"reality,":[28],"sensing":[30,223],"costs":[31,224],"(time":[33],"cost,":[34],"battery":[35],"drainage,":[36],"bandwidth":[37],"occupation":[38],"of":[39,49,151,211,220],"mobile":[40],"devices,":[41],"so":[43],"on)":[44],"is":[45,52,81,138,169,192],"private":[47,186],"collectors,":[50],"which":[51],"unknown":[53],"by":[54,157,176],"requester.":[57],"this":[59],"article,":[60],"we":[61,88,112,203],"model":[62],"strategic":[64],"interactions":[65],"health-data":[67,101,158,231],"requester":[68],"collectors":[70],"using":[71],"a":[72,90,119,149,188],"bilevel":[73,115],"optimization":[74,116],"model.":[75],"Considering":[76],"that":[77,128,153,164],"crowdsensing":[79],"market":[80],"open":[82],"participants":[85],"are":[86],"equal,":[87],"propose":[89],"Walrasian":[91],"equilibrium-based":[92],"pricing":[93,200,214],"mechanism":[94,215],"coordinate":[96],"interest":[98],"conflicts":[99],"Specifically,":[105],"based":[106],"on":[107,225],"exchange":[109],"economic":[110],"theory,":[111],"transform":[113],"problem":[117,123,147],"into":[118,148],"social":[120,144],"welfare":[121,145],"maximization":[122,146],"with":[124],"constraint":[126],"condition":[127],"balance":[130],"supply":[132],"demand,":[134],"dual":[136],"decomposition":[137],"then":[139,193],"employed":[140],"divide":[142],"set":[150],"subproblems":[152],"can":[154],"be":[155],"solved":[156],"We":[162],"prove":[163],"optimal":[166,198,226],"task":[167,199,227],"price":[168],"equal":[170],"marginal":[173],"utility":[174],"generated":[175],"collector\u2019s":[178,185],"health":[179],"data.":[180],"To":[181],"avoid":[182],"obtaining":[183],"information,":[187],"distributed":[189],"iterative":[190],"algorithm":[191],"obtain":[196],"strategy.":[201],"Furthermore,":[202],"conduct":[204],"computational":[205],"experiments":[206],"evaluate":[208],"performance":[210],"proposed":[213],"analyze":[217],"effects":[219],"intrinsic":[221],"rewards,":[222],"prices,":[228],"collectors\u2019":[230],"supplies.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
