《计算机应用研究》|Application Research of Computers

区块链中矿池选择策略的研究与分析

Research and analysis of mining pool selection strategy in blockchain

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作者 邸剑,吝伟华
机构 华北电力大学 控制与计算机工程学院,河北 保定 071003
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文章编号 1001-3695(2020)06-040-1804-04
DOI 10.19734/j.issn.1001-3695.2018.12.0875
摘要 在基于工作量证明(proof of work,PoW)的区块链网络中,矿工通常选择加入矿池。由于存在多个矿池并且不同的矿池拥有的算力不同以及可能采取不同的奖励机制,所以矿工可以在不同的矿池中获得不同的收益。针对矿工面临的矿池选择问题,建立了一个基于风险决策准则的矿池选择模型,研究了矿池算力和奖励机制对矿工最优选择策略的影响。首先计算了矿工在不同矿池中的收益,给出收益矩阵;其次分别利用最大可能性准则和期望值准则得出最优选择策略;最后通过仿真实验,对提出的策略进行了验证分析。实验结果表明,提出的策略与简单策略相比,在绝大多数情况下能为矿工带来更高的收益。
关键词 比特币; 区块链; 矿池; 奖励系统; 风险决策
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本文URL http://www.arocmag.com/article/01-2020-06-040.html
英文标题 Research and analysis of mining pool selection strategy in blockchain
作者英文名 Di Jian, Lin Weihua
机构英文名 School of Control & Computer Engineering,North China Electric Power University,Baoding Hebei 071003,China
英文摘要 In a blockchain network based on proof of work(PoW), miners usually choose to join the mining pool. As there are many mining pools and different mining pools have different computing power and may adopt different reward mechanisms, miners can get different rewards in different mining pools. For the choice of mining pool faced by the miners. This paper proposed a mining pool selection model based on risk decision criteria, aiming at the problem of miners' selection of mining pools, and studied the effect of computing power and reward mechanism on the miners' optimal pool selection decisions. Firstly, it calculated the miners' rewards and gave the reward matrix. Secondly, it used the maximum likelihood criterion and the expectation criterion respectively to derive the optimal selection strategy. Finally, simulation experiments validated the proposed pool selection strategies. Experimental results show that compared with the simple strategy, the proposed strategy can bring higher rewards to the miners in most cases.
英文关键词 bitcoin; blockchain; mining pool; reward system; risk decision
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收稿日期 2018/12/3
修回日期 2019/2/15
页码 1804-1807
中图分类号 TP309.2
文献标志码 A