Cyber-physical social system (CPSS) has emerged to integrate the interaction between the physical, cyber, and social world. However, due to the ever-increasing amount of sensing data and the limited resources of mobile systems, how to allocate the tasks by crowd sensing to enable a high-confidence CPSS becomes a new challenge. Therefore, in this paper we propose a novel game theoretical approach to allocate tasks with the trust and incentives in CPSS. First, with the analysis of social tie of mobile users, a trust evaluation mechanism is developed to evaluate the reputation of mobile users. Second, by introducing a virtual currency, the incentive mechanism is designed to encourage mobile users to undertake the tasks by crowd sensing. Third, based on the interaction of task requester and mobile users, a bargaining game model is presented to allocate tasks where the optimal price can be determined by the subgame perfect Nash equilibrium. Finally, extensive simulations are carried out to demonstrate that the proposal can outperform other conventional methods.

中文翻译：

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网络物理社会系统的任务分配方案

Cyber​​-Physical Social System (CPSS) 已经出现，以整合物理、网络和社会世界之间的相互作用。然而，由于感知数据量的不断增加和移动系统资源的有限，如何通过人群感知来分配任务以实现高可信度的CPSS成为一个新的挑战。因此，在本文中，我们提出了一种新颖的博弈论方法，以在 CPSS 中利用信任和激励来分配任务。首先，通过对移动用户社会关系的分析，建立信任评价机制来评价移动用户的声誉。其次，通过引入虚拟货币，激励机制旨在鼓励移动用户通过人群感知来承担任务。三、基于任务请求者和移动用户的交互，提出了一个讨价还价博弈模型来分配任务，其中最优价格可以由子博弈完美纳什均衡确定。最后，进行了广泛的模拟，以证明该提议可以胜过其他传统方法。