关键词: 移动群智感知, Q-learning方法, 任务分配, 算法

Abstract: Task assignment in mobile crowdsensing environments has become a new research topic in the researching area on workflow systems.To solve the task assignment between mobile intelligent users reasonably,Q-learning thought was introduced into workflow scheduling,and a greedy algorithm based on Q-learning was designed.Without the need of knowing the detailed information of mobile users information and any other estimated assumptions,this algorithm exchanged with users continuously and learned from the environments to improve the quality of tasks assignment among mobile users.Simulation results showed that the proposed method could improve the perceptual efficiency and speed up the convergence.It had provided an intelligent attempt for the task allocation system in mobile crowdsensing environments.

Key words: crowd sensing, Q-learning, task assignment, algorithms