A reputation-based incentive and allocation model using double auction for mobile crowdsensing
A Reputation-Based Incentive Mechanism Double-Auction Model (RBIM), which considers both uneven worker arrivals and the diminishing returns of task quality, and consistently outperforms several benchmark algorithms, significantly improving task completion rates, task quality, and overall system utility.