{"id":"https://openalex.org/W4414956204","doi":"https://doi.org/10.1109/jiot.2025.3619083","title":"Toward Trust and Time-Sharing Task Allocation Scheme in Mobile Crowdsensing","display_name":"Toward Trust and Time-Sharing Task Allocation Scheme in Mobile Crowdsensing","publication_year":2025,"publication_date":"2025-10-08","ids":{"openalex":"https://openalex.org/W4414956204","doi":"https://doi.org/10.1109/jiot.2025.3619083"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3619083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3619083","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5064890896","display_name":"Yuxin Liu","orcid":"https://orcid.org/0009-0006-6583-6660"},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxin Liu","raw_affiliation_strings":["College of Computer Science and Engineering, Changsha University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Changsha University, Changsha, China","institution_ids":["https://openalex.org/I198357462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112794290","display_name":"Zhiyuan He","orcid":null},"institutions":[{"id":"https://openalex.org/I198357462","display_name":"Changsha University","ror":"https://ror.org/011d8sm39","country_code":"CN","type":"education","lineage":["https://openalex.org/I198357462"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi He","raw_affiliation_strings":["College of Computer Science and Engineering, Changsha University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Changsha University, Changsha, China","institution_ids":["https://openalex.org/I198357462"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074855135","display_name":"Zichao Xie","orcid":"https://orcid.org/0000-0002-1667-4742"},"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":"Zichao Xie","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":"middle","author":{"id":"https://openalex.org/A5006546107","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0003-4819-621X"},"institutions":[{"id":"https://openalex.org/I12615008","display_name":"Beijing Normal-Hong Kong Baptist University","ror":"https://ror.org/04snvc712","country_code":"CN","type":"education","lineage":["https://openalex.org/I12615008"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Department of Artificial Intelligence and Future Networks, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China","Department of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence and Future Networks, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I12615008","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Department of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, Guangdong, China","institution_ids":["https://openalex.org/I25254941"]}]},{"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 Herbert 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":6,"corresponding_author_ids":["https://openalex.org/A5064890896"],"corresponding_institution_ids":["https://openalex.org/I198357462"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30691387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"24","first_page":"54070","last_page":"54084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9861000180244446,"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/crowdsensing","display_name":"Crowdsensing","score":0.8019999861717224},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7300000190734863},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.7268000245094299},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6470999717712402},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4413999915122986},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4390999972820282},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4120999872684479},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.40049999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8729000091552734},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.8019999861717224},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7300000190734863},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7268000245094299},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6470999717712402},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4691999852657318},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4413999915122986},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4120999872684479},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.40049999952316284},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.3874000012874603},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C2776831232","wikidata":"https://www.wikidata.org/wiki/Q966812","display_name":"Trusted Computing","level":2,"score":0.31139999628067017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3095000088214874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C2776384856","wikidata":"https://www.wikidata.org/wiki/Q17145767","display_name":"Trust management (information system)","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.29280000925064087},{"id":"https://openalex.org/C201729545","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability theory","level":3,"score":0.29269999265670776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3619083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3619083","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1888343377","display_name":null,"funder_award_id":"62177019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2500620259","display_name":null,"funder_award_id":"62402067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3601291646","display_name":null,"funder_award_id":"2024JJ6091","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1499884756","https://openalex.org/W2086413055","https://openalex.org/W2619944023","https://openalex.org/W2946891957","https://openalex.org/W2984782026","https://openalex.org/W2990695676","https://openalex.org/W3016819671","https://openalex.org/W3021908353","https://openalex.org/W3132473320","https://openalex.org/W3196904597","https://openalex.org/W4210320089","https://openalex.org/W4226515229","https://openalex.org/W4300590317","https://openalex.org/W4364302108","https://openalex.org/W4379034006","https://openalex.org/W4385708441","https://openalex.org/W4386090357","https://openalex.org/W4388052829","https://openalex.org/W4390357670","https://openalex.org/W4391097131","https://openalex.org/W4391257285","https://openalex.org/W4391305631","https://openalex.org/W4391542336","https://openalex.org/W4392523571","https://openalex.org/W4394014275","https://openalex.org/W4396604799","https://openalex.org/W4396821794","https://openalex.org/W4400644248","https://openalex.org/W4402260669","https://openalex.org/W4402916947","https://openalex.org/W4403446152","https://openalex.org/W4403534188","https://openalex.org/W4403936755","https://openalex.org/W4404293876","https://openalex.org/W4404370715","https://openalex.org/W4405441292","https://openalex.org/W4405974386","https://openalex.org/W4406276175","https://openalex.org/W4406523047","https://openalex.org/W4406890314","https://openalex.org/W4406983456","https://openalex.org/W4407304415","https://openalex.org/W4408200031","https://openalex.org/W4408859311"],"related_works":[],"abstract_inverted_index":{"Assigning":[0],"tasks":[1,135],"to":[2,5,42,48,75,136],"reliable":[3,7,77],"workers":[4,94,104],"obtain":[6],"data":[8,33,78,119,138,171],"is":[9,19],"a":[10],"critical":[11],"issue":[12],"in":[13,54,80,178],"Mobile":[14],"CrowdSensing":[15],"(MCS).":[16],"The":[17,156],"challenge":[18],"compounded":[20],"by":[21,121,154,173],"the":[22,63,148,167],"problem":[23],"of":[24],"Information":[25],"Elicitation":[26],"Without":[27],"Verification":[28],"(IEWV),":[29],"which":[30,116,133],"renders":[31],"traditional":[32],"quality":[34],"evaluation":[35],"methods":[36],"ineffective.":[37],"While":[38],"some":[39],"studies":[40],"attempt":[41],"address":[43],"this,":[44],"they":[45],"often":[46],"struggle":[47],"assess":[49],"workers\u2019":[50],"dynamic":[51],"trustworthiness,":[52],"resulting":[53],"unreliable":[55],"data.":[56],"To":[57],"overcome":[58],"these":[59],"challenges,":[60],"we":[61],"propose":[62],"Trust":[64,89,127],"and":[65,98,105,125,128,140,166,176,181],"Time-sharing":[66,129],"Task":[67,130],"Allocation":[68,131],"based":[69,95],"Truth":[70,112],"Discovery":[71,114],"(TTTA-TD)":[72],"scheme,":[73],"designed":[74],"ensure":[76,137],"collection":[79],"MCS.":[81],"This":[82],"scheme":[83,169],"includes":[84],"three":[85],"components:":[86],"(a)":[87],"Classification-based":[88],"Evaluation":[90],"(CTE)":[91],"that":[92,147],"classifies":[93],"on":[96],"behavior":[97],"applies":[99],"tailored":[100],"penalties\u2014lenient":[101],"for":[102,107],"honest":[103],"stricter":[106],"malicious":[108],"ones,":[109],"(b)":[110],"Trust-based":[111],"Data":[113],"(TTDD),":[115],"improves":[117,159],"truth":[118,160],"accuracy":[120],"integrating":[122],"trust":[123],"scores,":[124],"(c)":[126],"(TTTA)":[132],"allocates":[134],"reliability":[139,172],"minimize":[141],"time-sharing":[142,153],"disparities.":[143],"Experimental":[144],"results":[145],"show":[146],"TTTA":[149],"algorithm":[150,158],"reduces":[151],"average":[152],"93.95%.":[155],"TTDD":[157],"estimates":[161],"across":[162],"all":[163],"dataset":[164],"qualities,":[165],"TTTA-TD":[168],"enhances":[170],"0.35%,":[174],"2.06%,":[175],"7.41%":[177],"high,":[179],"medium,":[180],"low-quality":[182],"datasets":[183],"respectively.":[184]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}