Privacy-Preserving Cost Minimization in Mobile Crowd Sensing Supported by Edge Computing

Privacy-Preserving Cost Minimization in Mobile Crowd Sensing Supported by Edge Computing

To minimize the sensing cost in MCS while preserving the participants' privacy, in this paper we propose a Data Sensing mechanism with User Privacy Preserved (DS-UPP). We introduce edge computing into MCS to support task allocation and user privacy protection. In DS-UPP, based on compressive se...

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Bibliographic Details
Main Authors: Zhuo Li, Zihui Song, Xin Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Mobile crowd sensing
privacy preservation
edge computing
Online Access:https://ieeexplore.ieee.org/document/9133431/

Internet

https://ieeexplore.ieee.org/document/9133431/

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