TIMCC: On Data Freshness in Privacy-Preserving Incentive Mechanism Design for Continuous Crowdsensing Using Reverse Auction
As an emerging paradigm that leverages the wisdom and efforts of the crowd, mobile crowdsensing has shown its great potential to collect distributed data. The crowd may incur such costs and risks as energy consumption, memory consumption, and privacy leakage when performing various tasks, so they ma...
Main Authors: | Xiaoqiang Ma, Weiwei Deng, Feng Wang, Menglan Hu, Fei Chen, Mohammad Mehedi Hassan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8943208/ |
Similar Items
-
A Blockchain Based Privacy-Preserving Incentive Mechanism in Crowdsensing Applications
by: Jingzhong Wang, et al.
Published: (2018-01-01) -
ATM: Attribute-Based Privacy-Preserving Task Assignment and Incentive Mechanism for Crowdsensing
by: Xiaoru Xu, et al.
Published: (2021-01-01) -
Development of User-Participatory Crowdsensing System for Improved Privacy Preservation
by: Mihui Kim, et al.
Published: (2020-03-01) -
Density-Based Location Preservation for Mobile Crowdsensing With Differential Privacy
by: Mengmeng Yang, et al.
Published: (2018-01-01) -
SybilEye: Observer-Assisted Privacy-Preserving Sybil Attack Detection on Mobile Crowdsensing
by: Junhyeok Yun, et al.
Published: (2020-04-01)