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

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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Bibliographic Details
Main Authors: Jing Zhang, Xiaoxiao Yang, Xin Feng, Hongwei Yang, An Ren
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
mobile crowdsensing
coverage
historical reputation
Stackelberg game theory
incentive mechanism
Online Access:https://www.mdpi.com/1424-8220/20/16/4478

Internet

https://www.mdpi.com/1424-8220/20/16/4478

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