基于信誉模型的群智感知网络用户参与激励机制

摘要

随着集成了越来越多传感器的移动设备的普及和发展,移动群智感知网络正成为一个新的研究领域,而充足的用户(尤其是信誉好的用户)参与,是移动群智感知网络的基础.在对用户参与激励机制策略进行研究和分析的基础上,针对现有激励机制在用户选择的随机性、任务处理效率和预算控制方面的不足,提出一种基于信誉模型的用户参与激励机制.初始时设置用户的信誉值,在任务分配过程中选择信誉度高的用户来参与任务处理,并通过设置因子减小用户的花费代价,这样在提高任务处理效率的基础上有效地控制了预算开支.最后通过实验验证,与现有普遍应用的用户参与激励机制策略相比,基于信誉模型的用户参与激励机制在提高任务处理效率和控制预算方面有更好的效果.%With the popularization and development of mobile devices which integrated more and more sensors, the mobile crowd sensing network is becoming a new research field.Adequate user participation (especially users with good credibility) is the basis for mobile crowd sensing network.Based on the research and analysis of user participation incentive mechanism, aiming at the shortcomings of the existing incentive mechanism, such as randomness of user selection, task processing efficiency and budget control, a user participation incentive mechanism based on credibility model is proposed.The initial value of the user's credibility set in the task allocation process to select high credibility of the user to participate in task processing, and set the factor to reduce the cost of the user's cost, so that improve the efficiency of task processing on the basis of effective control of the budget.Finally, it is verified by experiments that compared with the existing popular user participation incentive mechanism, the user participation incentive mechanism based on credibility model has better effect in improving the efficiency of task processing and budget control.