Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140087
Title: Evolutionary game for mining pool selection in blockchain networks
Authors: Liu, Xiaojun
Wang, Wenbo
Niyato, Dusit
Zhao, Narisa
Wang, Ping
Keywords: Engineering::Computer science and engineering
Issue Date: 2018
Source: Liu, X., Wang, W., Niyato, D., Zhao, N., & Wang, P. (2018). Evolutionary game for mining pool selection in blockchain networks. IEEE Wireless Communications Letters, 7(5), 760-763. doi:10.1109/LWC.2018.2820009
Journal: IEEE Wireless Communications Letters
Abstract: 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.
URI: https://hdl.handle.net/10356/140087
ISSN: 2162-2337
DOI: 10.1109/LWC.2018.2820009
Rights: © 2018 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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