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A Node Preference-Aware Delegated Proof of Stake Consensus Algorithm With Reward and Punishment Mechanism

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Wireless Algorithms, Systems, and Applications (WASA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12937))

Abstract

Blockchain is a distributed data structure that ensures data security and reliability, and has been widely used in different application scenarios. As the core part of blockchain, consensus algorithm has become the bottleneck of blockchain development, which directly determines the performance of blockchain system. Therefore, considering the preference of nodes, we propose a node preference-aware delegated proof of stake consensus algorithm with reward and punishment mechanism (NPRP-DPoS) to improve the reputation of witness nodes. NPRP-DPoS designs a reward and punishment mechanism to reward or punish generators and voters, and constructs a reputation mechanism to motivate the positive behavior of nodes. At the same time, NPRP-DPoS uses Borda count to select the witness nodes which are more in line with the preference of the voting nodes. The experimental results shows that NPRP-DPoS algorithm can quickly eliminate exception nodes and motivate nodes to vote effectively. Also, NPRP-DPoS algorithm makes the election more fair and reasonable, ensures the interests of nodes and enhances the security of system.

This work was partially supported by NSF of China under Grants 61832012, 61672321, 61771289 and 61373027, and the Science, Education and Industry Integration Innovation Program of Qilu University of Technology (Shandong Academy of Science) under Grant 2020KJC-ZD02.

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Sun, Y., Yan, B., Yu, J., Duan, X. (2021). A Node Preference-Aware Delegated Proof of Stake Consensus Algorithm With Reward and Punishment Mechanism. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12937. Springer, Cham. https://doi.org/10.1007/978-3-030-85928-2_45

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  • DOI: https://doi.org/10.1007/978-3-030-85928-2_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85927-5

  • Online ISBN: 978-3-030-85928-2

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