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A Game-Theoretic Approach to Computation Offloading in Satellite Edge Computing

机译:卫星边缘计算中计算卸载的游戏理论方法

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Mobile edge computing (MEC) is proposed as a new paradigm to meet the ever-increasing computation requirements, which is caused by the rapid growth of the Internet of Things (IoT) devices. As a supplement to the terrestrial network, satellites can provide communication to terrestrial devices in some harsh environments and natural disasters. Satellite edge computing is becoming an emerging topic and technology. In this paper, a game-theoretic approach to the optimization of computation offloading strategy in satellite edge computing is proposed. The system model for computation offloading in satellite edge computing is established, considering the intermittent terrestrial-satellite communication caused by satellites orbiting. We conduct a computation offloading game framework and compute the response time and energy consumption of a task based on the queuing theory as metrics of optimizing performance. The existence and uniqueness of the Nash equilibrium is theoretically proved, and an iterative algorithm is proposed to find the Nash equilibrium. Simulation results validate the proposed algorithm and show that the game-based offloading strategy can greatly reduce the average cost of a device.
机译:拟议移动边缘计算(MEC)作为满足不断增加的计算要求的新范式,这是由东西(物联网)设备的快速增长引起的。作为地面网络的补充,卫星可以在一些恶劣的环境和自然灾害中提供与地面设备的沟通。卫星边缘计算正在成为新兴的主题和技术。本文提出了一种卫星边缘计算中计算卸载策略优化的游戏 - 理论方法。建立了用于卫星边缘计算中的计算卸载的系统模型,考虑到由卫星轨道引起的间歇式地面卫星通信。我们进行计算卸载游戏框架,并根据排队理论计算任务的响应时间和能量消耗作为优化性能的度量。理论上证明了纳什均衡的存在和唯一性,提出了一种迭代算法来找到纳什均衡。仿真结果验证了所提出的算法,并表明基于游戏的卸载策略可以大大降低设备的平均成本。

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