Oasis: Online all-phase quality-aware incentive mechanism for MCS

• Main Authors: ZHANG, Man, LI, Xinghua, MIAO, Yinbin, LUO, Bin, MA, Siqi, CHOO, Kim-Kwang Raymond, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Task Analysis; Sensors; Data Integrity; Recruitment; Costs; Resumes; Reliability; Knapsack Secretary; Mobile Crowdsensing; Online Recruit; Quality Aware Incentive Mechanisms; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/8661
• Institution: Singapore Management University

To motivate users to submit high quality data for mobile crowdsensing (MCS), some quality-aware incentive mechanisms have been proposed, which recruit and pay users strategically. However, in the existing mechanisms, the recruitment based only on tasks matching degree leads to the ineffective insist...