User Recruitment Algorithm for Maximizing Quality under Limited Budget in Mobile Crowdsensing
User Recruitment Algorithm for Maximizing Quality under Limited Budget in Mobile Crowdsensing
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Author / Creator
Publisher
New York: Hindawi
Journal title
Language
English
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Publisher
New York: Hindawi
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Scope and Contents
Contents
In the mobile crowdsensing task assignment, under the premise that the data platform does not know the user’s perceived quality or cost value, how to establish a suitable user recruitment mechanism is the critical issue that this article needs to solve. It is necessary to learn the user’s perceived quality in the execution p. It also needs to try i...
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Full title
User Recruitment Algorithm for Maximizing Quality under Limited Budget in Mobile Crowdsensing
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f3b79a5fcadc4f68bb3d56ed59bed8b9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f3b79a5fcadc4f68bb3d56ed59bed8b9
Other Identifiers
ISSN
1026-0226
E-ISSN
1607-887X
DOI
10.1155/2022/4804231
