移动群智感知中时间窗口相关的参与者选择机制

In many applications of mobile crowd sensing, participants should collect continuous data over a period of time in this scenario on which existing research lacks consideration. For this scenario, the paper proposes a participant selection mechanism which is time window dependent. This mechanism includes: a participant selection method which is time window dependent based on dynamic programming algorithm. The target of the method is to maximize data benefits while cover time period of the task; A updating mechanism of participants reputation given the willingness and data quality of the participant. Finally, simulation results show that compared with two common selection mechanisms, the participant selection mechanism proposed has better performance in terms of data reliability, data benefits and cost and has better prospects.