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Evolutionary Game for Mining Pool Selection in Blockchain Networks

机译:区块链网络中矿池选择的进化博弈

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In proof-of-work-based blockchain networks, the block miners participate in a crypto-puzzle solving competition to win the reward of publishing (i.e., mining) new blocks. Due to the remarkable difficulty of the crypto-puzzle, individual miners tend to join mining pools to secure stable profits. We study the dynamics of mining pool selection in a blockchain network, where mining pools may choose arbitrary block mining strategies. We identify the hash rate for puzzle-solving and the block propagation delay as two major factors determining the mining competition results. We then model the strategy evolution of individual miners as an evolutionary game. We provide the theoretical analysis of evolutionary stability in the pool selection dynamics for a two-pool case. Numerical simulations support our theoretical findings as well as demonstrate the stability in the evolution of miners' strategies in a general case.
机译:在基于工作量证明的区块链网络中,区块矿工参加加密难题解决方案竞赛,以赢得发布(即挖掘)新区块的奖励。由于加密难题的巨大难度,单个矿工倾向于加入矿池以确保稳定的利润。我们研究了区块链网络中矿池选择的动力学,其中矿池可以选择任意的区块挖矿策略。我们将难题解决的哈希率和块传播延迟确定为决定采矿竞争结果的两个主要因素。然后,我们将个体矿工的策略演变建模为进化博弈。我们提供了两池案例池选择动力学中进化稳定性的理论分析。数值模拟支持了我们的理论发现,并证明了一般情况下矿工策略演变的稳定性。

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