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Stackelberg Game-Based Computation Offloading in Social and Cognitive Industrial Internet of Things

机译：基于Stackelberg游戏的计算卸载在社会和认知工业互联网上

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摘要

Relying on the computation offloading technology, edge computing has shown potential in countless tasks processing in the industrial Internet of Things (IIoT), which is composed of multiple edge clouds and multiple IIoT devices. Nevertheless, with increasing demands for computation service, how to design reliable transmission mechanism and allocate proper computation resource has become bottlenecks. In this article, we propose a computation offloading mechanism based on two-stage Stackelberg game to analyze the interaction between multiple edge clouds and multiple IIoT devices. To be specific, the edge clouds are denoted as leaders who set the appropriate price for their computation resource. Besides considering the payment cost, the IIoT devices which are termed as the followers formulate their utility function by considering the social interaction information from the potential IIoT devices. The existence and uniqueness of the Stackelberg equilibrium are analyzed considering two possible cases, i.e., complete information and incomplete information. Moreover, two dynamic iterative algorithms are invoked for solving both problem models, respectively. Finally, experimental results show that our proposed scheme is conducive to seeking the appropriate price and computation requirement. Besides, social interaction information plays an important role in achieving a reasonable computation requirement for IIoT devices.
机译：依靠计算卸载技术，边缘计算在工业互联网（IIOT）中的无数任务处理中示出了潜力，由多个边缘云和多个IIOT设备组成。然而，随着对计算服务的需求的增加，如何设计可靠的传输机制并分配适当的计算资源已成为瓶颈。在本文中，我们提出了一种基于两阶段Stackelberg游戏的计算卸载机制，分析了多个边缘云和多个IIOT设备之间的交互。具体而言，边缘云表示为为其计算资源设置适当价格的领导者。除了考虑支付成本外，由于追随者而被称为追随者的IIOT设备通过考虑来自潜在的IIOT设备的社交交互信息，制定其实用程序功能。考虑到两个可能的情况，即完成信息和不完整信息，分析了Stackelberg均衡的存在和唯一性。此外，调用了两个动​​态迭代算法，用于解决两个问题模型。最后，实验结果表明，我们的拟议计划有利于寻求适当的价格和计算要求。此外，社交互动信息在实现IIOT设备的合理计算要求方面发挥着重要作用。

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