Data-Driven Pricing for Sensing Effort Elicitation in Mobile Crowd Sensing Systems

• Published in: IEEE/ACM transactions on networking Vol. 27; no. 6; pp. 2208 - 2221
• Main Authors: Jin, Haiming, He, Baoxiang, Su, Lu, Nahrstedt, Klara, Wang, Xinbing
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer simulation; Crowdsourcing; Data collection; Data integrity; Data management; Data models; Detection; Economic models; Electronic devices; Game theory; Incentive mechanism; mobile crowd sensing; Noise measurement; Reliability; sensing effort elicitation; Sensors; Task analysis; truth discovery

The recent proliferation of human-carried mobile devices has given rise to mobile crowd sensing (MCS) systems that outsource sensory data collection to the public crowd. In order to identify truthful values from (crowd) workers' noisy or even conflicting sensory data, truth discovery algorithms...