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Game-based data offloading scheme for IoT system traffic congestion problems

机译:针对物联网系统流量拥塞问题的基于游戏的数据卸载方案

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Internet of things (IoT) is seen as another information and industrial wave after the invention of personal computers, the Internet, and mobile communication networks. Especially, IoT/cellular network integration becomes a new service platform for the different kinds of traffic manipulation. However, due to the excessive traffic demands, it is currently facing a severe traffic overload problem. In this paper, we propose a new traffic control scheme based on the data offloading technique. By using the Vickrey-Clarke-Groves (VCG) mechanism and Rubinstein bargaining game model, our data offloading approach can effectively alleviate the IoT traffic congestion while enhancing the quality-of-service (QoS) in cellular network systems. Finally, we show the effectiveness of our proposed scheme through extensive simulations. Keywords Internet of things Data offloading Game theory VCG mechanism Rubinstein bargaining model
机译:在个人计算机,互联网和移动通信网络发明之后,物联网(IoT)被视为另一种信息和工业浪潮。尤其是,物联网/蜂窝网络集成成为针对各种流量操纵的新服务平台。但是,由于交通需求过大,目前面临着严重的交通过载问题。在本文中,我们提出了一种基于数据卸载技术的流量控制新方案。通过使用Vickrey-Clarke-Groves(VCG)机制和Rubinstein讨价还价博弈模型,我们的数据分载方法可以有效缓解IoT流量拥塞,同时增强蜂窝网络系统中的服务质量(QoS)。最后,我们通过广泛的仿真展示了我们提出的方案的有效性。关键词物联网数据分流博弈论VCG机制鲁宾斯坦讨价还价模型

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