论文标题
基于边缘计算的激励机制,用于物联网中的移动区块链
Edge computing based incentivizing mechanism for mobile blockchain in IOT
论文作者
论文摘要
区块链中的采矿需要高计算能力来解决哈希难题,例如工作证明难题。在物联网设备(尤其是物联网的移动设备)中,实现此问题的计算需要高昂的成本。因此,它限制了区块链在移动环境中的应用。但是,可以利用边缘计算来解决物联网中移动设备的计算能力不足的问题。 Edge Server可以招募许多移动设备,以共同贡献计算能力以与这些招募的移动设备共享采矿的回报。在本文中,我们提出了一种基于移动区块链边缘计算的激励机制。我们设计了一个两阶段的Stackelberg游戏,以共同优化边缘服务器和招募移动设备的奖励。 Edge服务器作为领导者设定了第一阶段的招聘移动设备的预期费用。移动设备作为追随者提供其计算能力,可根据舞台的预期费用来开采。它证明,该游戏可以在相同或不同的预期费用下获得唯一性NASH平衡解决方案。在仿真实验中,我们获得了边缘服务器的利润结果曲线,而从边缘服务器和移动设备的计算能力之间的比率不同。此外,已将提议的方案与MDG方案进行了比较,以获得边缘服务器的利润。实验结果表明,在相同的总计算能力下,提议的方案的利润大于MDG方案的利润。
Mining in the blockchain requires high computing power to solve the hash puzzle for example proof-of-work puzzle. It takes high cost to achieve the calculation of this problem in devices of IOT, especially the mobile devices of IOT. It consequently restricts the application of blockchain in mobile environment. However, edge computing can be utilized to solve the problem for insufficient computing power of mobile devices in IOT. Edge servers can recruit many mobile devices to contribute computing power together to mining and share the reward of mining with these recruited mobile devices. In this paper, we propose an incentivizing mechanism based on edge computing for mobile blockchain. We design a two-stage Stackelberg Game to jointly optimize the reward of edge servers and recruited mobile devices. The edge server as the leader sets the expected fee for the recruited mobile devices in Stage I. The mobile device as a follower provides its computing power to mine according to the expected fee in Stage. It proves that this game can obtain a uniqueness Nash Equilibrium solution under the same or different expected fee. In the simulation experiment, we obtain a result curve of the profit for the edge server with the different ratio between the computing power from the edge server and mobile devices. In addition, the proposed scheme has been compared with the MDG scheme for the profit of the edge server. The experimental results show that the profit of the proposed scheme is more than that of the MDG scheme under the same total computing power.