基于社交性的移动群智感知网络自适应任务分发机制

o address a series of problems existing in the present task distribution process, such asover-reliance on users' mobility impacts the timeliness of task distribution, low quality users degrade the whole data quality, redundancy exists in the interaction process under the dynamic network environment and so on, an new task distribution mechanism based on sociability for mobile crowd sensing networks, ATDS, is proposed. At the user level, ATDS mechanism takes advantage of both the user's sociability and mobility, while relying on the encounters among the mobile users to distribute task information, at the same time through the social software to achieve real-time communication, collaboratively distribute task information, accelerate the speed of task distribution; at the system level, ATDS platform dynamically adjusts the quality threshold according to the distribution situation, effectively enhances the recruitment of user quality. Theoretical analysis verifies the effectiveness of ATDS. Simulation results show that ATDS improves the quality ratio at least 18.57%, as compared to the NTD and TDS mechanism, and reduces the distribute time, as compared to NTD mechanism.