{"id":"https://openalex.org/W7084130110","doi":"https://doi.org/10.1109/icbc64466.2025.11114497","title":"Blockchain-Based Mobile CrowdSensing system for Clearance Rate Maximization and Data Validity Preservation","display_name":"Blockchain-Based Mobile CrowdSensing system for Clearance Rate Maximization and Data Validity Preservation","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W7084130110","doi":"https://doi.org/10.1109/icbc64466.2025.11114497"},"language":"en","primary_location":{"id":"doi:10.1109/icbc64466.2025.11114497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbc64466.2025.11114497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)","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":null,"display_name":"Maggie Ezzat Gaber Gendy","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Maggie Ezzat Gaber Gendy","raw_affiliation_strings":["Monash University,Dept. of Electrical &#x0026; Computer Systems,Melbourne,VIC,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University,Dept. of Electrical &#x0026; Computer Systems,Melbourne,VIC,Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ahmad Al-Kabbany","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086935","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":null,"country_code":"EG","type":null,"lineage":["https://openalex.org/I4210086935"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ahmad Al-Kabbany","raw_affiliation_strings":["Arab Academy for Science, Technology, and Maritime Transport,Intelligent Systems Lab,Alexandria,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab Academy for Science, Technology, and Maritime Transport,Intelligent Systems Lab,Alexandria,Egypt","institution_ids":["https://openalex.org/I4210086935"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ehab F. Badran","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086935","display_name":"Arab Academy for Science, Technology, and Maritime Transport","ror":null,"country_code":"EG","type":null,"lineage":["https://openalex.org/I4210086935"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Ehab F. Badran","raw_affiliation_strings":["Arab Academy for Science, Technology and Maritime Transport,Dept. of Electronics and Communications,Alexandria,Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arab Academy for Science, Technology and Maritime Transport,Dept. of Electronics and Communications,Alexandria,Egypt","institution_ids":["https://openalex.org/I4210086935"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mehmet Rasit Yuce","orcid":null},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mehmet Rasit Yuce","raw_affiliation_strings":["Monash University,Dept. of Electrical &#x0026; Computer Systems,Melbourne,VIC,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University,Dept. of Electrical &#x0026; Computer Systems,Melbourne,VIC,Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44606045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13511","display_name":"Geodetic Measurements and Engineering Structures","score":0.2092999964952469,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T13511","display_name":"Geodetic Measurements and Engineering Structures","score":0.2092999964952469,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14353","display_name":"Wireless Sensor Networks for Data Analysis","score":0.05260000005364418,"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"}},{"id":"https://openalex.org/T13085","display_name":"Education, Psychology, and Social Research","score":0.0471000000834465,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"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":0.833899974822998},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.717199981212616},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4683000147342682},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.44600000977516174},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.3709000051021576},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.35659998655319214},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.35519999265670776},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.35260000824928284},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.33739998936653137}],"concepts":[{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.833899974822998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7289000153541565},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.717199981212616},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4683000147342682},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.44600000977516174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43290001153945923},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.3709000051021576},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.35659998655319214},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3529999852180481},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C2985793214","wikidata":"https://www.wikidata.org/wiki/Q3274096","display_name":"Utility maximization","level":2,"score":0.3257000148296356},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.31060001254081726},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.289900004863739},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2872999906539917},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C104582849","wikidata":"https://www.wikidata.org/wiki/Q787282","display_name":"Automatic identification and data capture","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C2779965156","wikidata":"https://www.wikidata.org/wiki/Q5227350","display_name":"Data sharing","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C529754248","wikidata":"https://www.wikidata.org/wiki/Q1054772","display_name":"Data recovery","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbc64466.2025.11114497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbc64466.2025.11114497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2807966864","https://openalex.org/W2963798142","https://openalex.org/W2995069889","https://openalex.org/W3033714500","https://openalex.org/W3036184803","https://openalex.org/W3111685368","https://openalex.org/W3159562400","https://openalex.org/W3201678888","https://openalex.org/W4211138762","https://openalex.org/W4280500474","https://openalex.org/W4318984199","https://openalex.org/W4320496187","https://openalex.org/W4400277701","https://openalex.org/W4404280293"],"related_works":[],"abstract_inverted_index":{"Mobile":[0],"CrowdSensing":[1],"(MCS)":[2],"has":[3,70],"recently":[4],"emerged":[5],"as":[6],"a":[7,20,62,72,115,124],"powerful":[8],"paradigm":[9,74],"that":[10,75],"capitalizes":[11],"the":[12,25,28,36,39,44,52,67,92,105,136,154,158],"power":[13],"of":[14,22,27,38,46,55,94,107,139,168],"crowd-sourcing":[15],"for":[16,129],"public":[17],"sensing":[18,111],"in":[19,99,166],"variety":[21],"domains.":[23],"However,":[24],"quality":[26],"collected":[29],"data":[30,83,147,172],"is":[31,104],"not":[32],"guaranteed,":[33],"due":[34],"to":[35,61,79,120,157],"heterogeneity":[37],"devices":[40],"used":[41],"which":[42],"increases":[43],"risk":[45],"noisy":[47],"or":[48],"malicious":[49],"data.":[50],"Also,":[51],"decentralized":[53],"nature":[54],"MCS":[56,101,117],"systems":[57],"makes":[58],"them":[59],"susceptible":[60],"single-node":[63],"failure":[64],"problems.":[65],"Recently,":[66],"blockchain":[68],"technology":[69],"become":[71],"viable":[73],"lends":[76],"itself":[77],"well":[78],"decentralization":[80],"yet":[81],"facilitates":[82],"verification.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,152,162],"are":[89],"concerned":[90],"with":[91],"challenge":[93],"clearance":[95],"rate":[96],"(CR)":[97],"maximization":[98,170],"blockchain-based":[100,116],"systems.":[102],"CR":[103,122,169],"percentage":[106],"tasks":[108],"achieved":[109],"during":[110],"campaigns.":[112],"We":[113],"present":[114],"system":[118,133],"designed":[119],"maximize":[121],"through":[123],"three-stage":[125],"reverse":[126],"auction":[127],"mechanism":[128],"participant-task":[130],"matching.":[131],"The":[132],"also":[134],"addresses":[135],"interconnected":[137],"challenges":[138],"low":[140],"participant":[141],"engagement,":[142],"efficient":[143],"task":[144],"allocation,":[145],"and":[146,161,171],"validity.":[148],"Using":[149],"extensive":[150],"simulations,":[151],"compared":[153],"proposed":[155],"framework":[156],"recent":[159],"literature,":[160],"demonstrate":[163],"higher":[164],"effectiveness":[165],"terms":[167],"validity":[173],"preservation.":[174]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
