{"id":"https://openalex.org/W4400975597","doi":"https://doi.org/10.1109/tsc.2024.3433541","title":"MPS: A Truth Discovery Service Scheme by Using History Data to Maximize Profit for Mobile Crowd Sensing","display_name":"MPS: A Truth Discovery Service Scheme by Using History Data to Maximize Profit for Mobile Crowd Sensing","publication_year":2024,"publication_date":"2024-07-25","ids":{"openalex":"https://openalex.org/W4400975597","doi":"https://doi.org/10.1109/tsc.2024.3433541"},"language":"en","primary_location":{"id":"doi:10.1109/tsc.2024.3433541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2024.3433541","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Services Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://mdsoar.org/bitstreams/8e611237-9313-4205-9e2e-26f4b3fb4692/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010569363","display_name":"Wenjin Mo","orcid":"https://orcid.org/0009-0006-3333-8421"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Mo","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075435434","display_name":"Anfeng Liu","orcid":"https://orcid.org/0000-0001-5190-4761"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anfeng Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103216531","display_name":"Naixue Xiong","orcid":"https://orcid.org/0000-0002-0394-4635"},"institutions":[{"id":"https://openalex.org/I162709352","display_name":"Sul Ross State University","ror":"https://ror.org/03x7qhw59","country_code":"US","type":"education","lineage":["https://openalex.org/I162709352"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neal N. Xiong","raw_affiliation_strings":["Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Mathematics, Sul Ross State University, Alpine, TX, USA","institution_ids":["https://openalex.org/I162709352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079301418","display_name":"Houbing Song","orcid":"https://orcid.org/0000-0003-2631-9223"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houbing Song","raw_affiliation_strings":["Department of Information Systems, University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010569363"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":4.624,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.95426413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"17","issue":"6","first_page":"3956","last_page":"3970"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9550999999046326,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9366000294685364,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.796269416809082},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5036901831626892},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.42810243368148804},{"id":"https://openalex.org/keywords/service-discovery","display_name":"Service discovery","score":0.4189775586128235},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39049604535102844},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36385834217071533},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34675341844558716},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24528288841247559},{"id":"https://openalex.org/keywords/web-service","display_name":"Web service","score":0.15988725423812866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796269416809082},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5036901831626892},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.42810243368148804},{"id":"https://openalex.org/C144097018","wikidata":"https://www.wikidata.org/wiki/Q4329404","display_name":"Service discovery","level":3,"score":0.4189775586128235},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39049604535102844},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36385834217071533},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34675341844558716},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24528288841247559},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.15988725423812866},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsc.2024.3433541","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsc.2024.3433541","pdf_url":null,"source":{"id":"https://openalex.org/S204223317","display_name":"IEEE Transactions on Services Computing","issn_l":"1939-1374","issn":["1939-1374","2372-0204"],"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 Services Computing","raw_type":"journal-article"},{"id":"pmh:oai:mdsoar.org:11603/35724","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/35724","pdf_url":"https://mdsoar.org/bitstreams/8e611237-9313-4205-9e2e-26f4b3fb4692/download","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"doi:10.13016/m2cry8-lode","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m2cry8-lode","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:mdsoar.org:11603/35724","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/35724","pdf_url":"https://mdsoar.org/bitstreams/8e611237-9313-4205-9e2e-26f4b3fb4692/download","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5888125704","display_name":null,"funder_award_id":"62072475","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309204","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400975597.pdf","grobid_xml":"https://content.openalex.org/works/W4400975597.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W118259468","https://openalex.org/W1999417451","https://openalex.org/W2029396991","https://openalex.org/W2203128229","https://openalex.org/W2593133890","https://openalex.org/W2775712424","https://openalex.org/W2796856437","https://openalex.org/W2802269386","https://openalex.org/W2810910761","https://openalex.org/W2896098600","https://openalex.org/W2964280086","https://openalex.org/W2976292455","https://openalex.org/W2985229174","https://openalex.org/W3012539654","https://openalex.org/W3016819671","https://openalex.org/W3036867964","https://openalex.org/W3043117587","https://openalex.org/W3048060641","https://openalex.org/W3092413484","https://openalex.org/W3094986924","https://openalex.org/W3095673477","https://openalex.org/W3132653113","https://openalex.org/W3159557034","https://openalex.org/W3161757600","https://openalex.org/W3166388230","https://openalex.org/W3173540700","https://openalex.org/W3182996661","https://openalex.org/W3188054913","https://openalex.org/W3188097716","https://openalex.org/W4210320089","https://openalex.org/W4214813463","https://openalex.org/W4226515229","https://openalex.org/W4312545185","https://openalex.org/W4312822569","https://openalex.org/W4313172046","https://openalex.org/W4313201565","https://openalex.org/W4379879530","https://openalex.org/W4381327531","https://openalex.org/W4386090357","https://openalex.org/W4386634490","https://openalex.org/W4386736962","https://openalex.org/W4386825341","https://openalex.org/W4388052829"],"related_works":["https://openalex.org/W1975289146","https://openalex.org/W2616189383","https://openalex.org/W2115180690","https://openalex.org/W3209054608","https://openalex.org/W2105887828","https://openalex.org/W2181901768","https://openalex.org/W2122599759","https://openalex.org/W4236520801","https://openalex.org/W4256393556","https://openalex.org/W117743196"],"abstract_inverted_index":{"Mobile":[0],"Crowd":[1],"Sensing":[2],"(MCS)":[3],"has":[4],"emerged":[5],"as":[6,110,152],"a":[7,60,94,163,167,190,197],"novel":[8,191],"paradigm":[9],"in":[10,62,141,242],"massive":[11],"data":[12,30,44,51,56,107,111,131,148,154,215],"collection,":[13],"which":[14,103,136,161,175,203],"leverages":[15],"many":[16],"individual":[17],"mobile":[18],"devices":[19],"(called":[20],"workers)":[21],"to":[22,31,59,72,155],"collect":[23,77],"data.":[24],"MCS":[25,101],"platform":[26,63,71,134],"utilizes":[27],"the":[28,43,55,70,106,121,127,133,157,184,214,221,226,231],"collected":[29],"construct":[32],"various":[33],"services":[34],"for":[35,69,100],"service":[36,83],"requesters,":[37],"thus":[38],"obtaining":[39,85],"profit":[40],"based":[41],"on":[42,132,183],"values":[45],"contributed":[46],"by":[47],"workers.":[48],"However,":[49],"untrustworthy":[50],"would":[52],"greatly":[53],"reduce":[54],"value,":[57],"leading":[58],"decline":[61],"profit,":[64,135],"so":[65],"it":[66],"is":[67,120,137,162,173,176],"crucial":[68],"recruit":[73],"high-trust":[74],"workers":[75,151,205,218],"and":[76,84,114,169,199,209,219],"truthful":[78,153],"data,":[79,160],"thereby":[80,212],"providing":[81],"high-quality":[82],"high":[86,207],"profit.":[87,223,246],"To":[88],"address":[89],"this":[90],"problem,":[91],"we":[92,145,188],"propose":[93,189],"Maximize":[95],"Profit":[96],"Scheme,":[97],"called":[98],"MPS,":[99],"platforms,":[102],"consider":[104],"that":[105,124,235],"value":[108,171,186,216],"declines":[109],"trust":[112,208],"decreases":[113],"discounts":[115],"over":[116],"time.":[117],"MPS":[118,227,237],"scheme":[119],"first":[122],"work":[123],"systematically":[125],"addresses":[126],"impact":[128],"of":[129,149,159,217,244],"untruthful":[130],"not":[138],"well":[139],"addressed":[140],"previous":[142,180],"research.":[143],"First,":[144],"utilize":[146],"historical":[147],"trusted":[150],"identify":[156],"truth":[158],"low-cost":[164],"method.":[165],"Then,":[166],"trust-discounting":[168],"time-discounting":[170],"model":[172],"proposed,":[174],"more":[177],"practical":[178],"than":[179],"methods.":[181],"Based":[182],"proposed":[185],"model,":[187],"worker":[192],"recruitment":[193],"strategy":[194],"combined":[195],"with":[196,206,228],"trust-related":[198],"time-dependent":[200],"reward":[201],"threshold,":[202],"prioritizes":[204],"low":[210],"latency,":[211],"promoting":[213],"maximizing":[220],"platform's":[222],"By":[224],"comparing":[225],"existing":[229],"schemes,":[230],"experimental":[232],"results":[233],"show":[234],"our":[236],"can":[238],"achieve":[239],"better":[240],"performance":[241],"terms":[243],"total":[245]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}