A Joint Constraint Incentive Mechanism Algorithm Utilizing Coverage and Reputation for Mobile Crowdsensing

Selection of the optimal users to maximize the quality of the collected sensing data within a certain budget range is a crucial issue that affects the effectiveness of mobile crowdsensing (MCS). The coverage of mobile users (MUs) in a target area is relevant to the accuracy of sensing data. Furtherm...

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Detalles Bibliográficos
Autores principales: Zhang, Jing, Yang, Xiaoxiao, Feng, Xin, Yang, Hongwei, Ren, An
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472154/
https://www.ncbi.nlm.nih.gov/pubmed/32796520
http://dx.doi.org/10.3390/s20164478

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472154/
https://www.ncbi.nlm.nih.gov/pubmed/32796520
http://dx.doi.org/10.3390/s20164478

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