A Reputation-Based Multi-User Task Selection Incentive Mechanism for Crowdsensing

A Reputation-Based Multi-User Task Selection Incentive Mechanism for Crowdsensing

Crowdsensing high quality data relies on the efficient participation of users. However, the existing incentive mechanism is unable to take into account the dual requirements of both quantity and quality of users' participation. In this paper, we propose Crowdsensing Task Selection algorithm and...

Full description

Bibliographic Details
Main Authors: Qingcheng Li, Heng Cao, Shengkui Wang, Xiaolin Zhao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Crowdsensing
incentive mechanism
potential game
reputation conversion
Online Access:https://ieeexplore.ieee.org/document/9075237/

Internet

https://ieeexplore.ieee.org/document/9075237/

Similar Items