Quantifying User Reputation Scores, Data Trustworthiness, and User Incentives in Mobile Crowd-Sensing

Quantifying User Reputation Scores, Data Trustworthiness, and User Incentives in Mobile Crowd-Sensing

Ubiquity of mobile devices with rich sensory capabilities has given rise to the mobile crowd-sensing (MCS) concept, in which a central authority (the platform) and its participants (mobile users) work collaboratively to acquire sensory data over a wide geographic area. Recent research in MCS highlig...

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Bibliographic Details
Main Authors: Maryam Pouryazdan, Burak Kantarci, Tolga Soyata, Luca Foschini, Houbing Song
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Mobile crowd-sensing (MCS)
smart city
reputation systems
collaborative sensing
user incentives
reputation score
Online Access:https://ieeexplore.ieee.org/document/7835651/

Internet

https://ieeexplore.ieee.org/document/7835651/

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