How Can Incentive Mechanisms and Blockchain Benefit with Each Other? A Survey

Author:

Han Rong1ORCID,Yan Zheng2ORCID,Liang Xueqin1ORCID,Yang Laurence T.3ORCID

Affiliation:

1. The State Key Lab of ISN, School of Cyber Engineering, Xidian University, Xi’an, China

2. The State Key Lab of ISN, School of Cyber Engineering, Xidian University, Xi’an, China and Department of Communications and Networking, Aalto University, Espoo, Finland

3. School of Computer Science and Technology, Hainan University, Haikou, China

Abstract

In a blockchain-based system, the lack of centralized control requires active participation and cooperative behaviors of system entities to ensure system security and sustainability. However, dynamic environments and unpredictable entity behaviors challenge the performances of such systems in practice. Therefore, designing a feasible incentive mechanism to regulate entity behaviors becomes essential to improve blockchain system performance. The prosperous characteristics of blockchain can also contribute to an effective incentive mechanism. Unfortunately, current literature still lacks a thorough survey on incentive mechanisms related to the blockchain to understand how incentive mechanisms and blockchain make each other better. To this end, we propose evaluation requirements in terms of the properties and costs of incentive mechanisms. On the one hand, we provide a taxonomy of the incentive mechanisms of blockchain systems according to blockchain versions, incentive forms, and incentive goals. On the other hand, we categorize blockchain-based incentive mechanisms according to application scenarios and incentive goals. During the review, we discuss the advantages and disadvantages of state-of-the-art incentive mechanisms based on the proposed evaluation requirements. Through careful review, we present how incentive mechanisms and blockchain benefit with each other, discover a number of unresolved issues, and point out corresponding potential directions for future research.

Funder

National Natural Science Foundation of China

Academy of Finland

ZheJiang Lab

111 Project

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science,Theoretical Computer Science

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