A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks
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Abstract (arXiv)
The past decade has witnessed the rapid evolution in blockchain technologies, which has attracted tremendous interests from both the research communities and industries. The blockchain network was originated from the Internet financial sector as a decentralized, immutable ledger system for transactional data ordering. Nowadays, it is envisioned as a powerful backbone/framework for decentralized data processing and data-driven self-organization in flat, open-access networks. In particular, the plausible characteristics of decentralization, immutability and self-organization are primarily owing to the unique decentralized consensus mechanisms introduced by blockchain networks. This survey is motivated by the lack of a comprehensive literature review on the development of decentralized consensus mechanisms in blockchain networks. In this survey, we provide a systematic vision of the organization of blockchain networks. By emphasizing the unique characteristics of incentivized consensus in blockchain networks, our in-depth review of the state-of-the-art consensus protocols is focused on both the perspective of distributed consensus system design and the perspective of incentive mechanism design. From a game-theoretic point of view, we also provide a thorough review on the strategy adoption for self-organization by the individual nodes in the blockchain backbone networks. Consequently, we provide a comprehensive survey on the emerging applications of the blockchain networks in a wide range of areas. We highlight our special interest in how the consensus mechanisms impact these applications. Finally, we discuss several open issues in the protocol design for blockchain consensus and the related potential research directions.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 May 2018.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 4; 2024: 3; 2025: 1; 2026: 2.
11 papers.
- 2024Decentralized Federated Learning: A Survey on Security and Privacycited by 25
- 2024Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learningcited by 8
- 2024Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Modelcited by 3
- 2023Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoincited by 2
- 2023VDHLA: Variable Depth Hybrid Learning Automaton and Its Application to Defense Against the Selfish Mining Attack in Bitcoincited by 1
- 2023Can Blockchains Reliably Train Machine Learning Models?cited by 1
- 2023Web3 Meets AI Marketplace: Exploring Opportunities, Analyzing Challenges, and Suggesting Solutionscited by 1
- 2021Connecting AI Learning and Blockchain Mining in 6G Systemscited by 0
- 2025SEDULity: A Proof-of-Learning Framework for Distributed and Secure Blockchains with Efficient Useful Workcited by 0
- 2026Data-driven and distributed governance of building facilities management using decentralized autonomous organization, digital twin, and large language modelscited by 0
- 2026Decentralized autonomous organization and blockchain-based incentivization framework for community-based facilities managementcited by 0
- 2026Decentralized autonomous organization and blockchain-based incentivization framework for community-based facilities management16 Apr 2026
- 2026Data-driven and distributed governance of building facilities management using decentralized autonomous organization, digital twin, and large language models16 Apr 2026
- 2025SEDULity: A Proof-of-Learning Framework for Distributed and Secure Blockchains with Efficient Useful Work15 Dec 2025
- 2024Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model25 Oct 2024
- 2024Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning28 Mar 2024
- 2024Decentralized Federated Learning: A Survey on Security and Privacy25 Jan 2024
- 2023Web3 Meets AI Marketplace: Exploring Opportunities, Analyzing Challenges, and Suggesting Solutions29 Oct 2023
- 2023Can Blockchains Reliably Train Machine Learning Models?13 Jul 2023
- 2023VDHLA: Variable Depth Hybrid Learning Automaton and Its Application to Defense Against the Selfish Mining Attack in Bitcoin15 Feb 2023
- 2023Nik Defense: An Artificial Intelligence Based Defense Mechanism against Selfish Mining in Bitcoin26 Jan 2023
- 2021Connecting AI Learning and Blockchain Mining in 6G Systems29 Apr 2021