A Scalable Blockchain Consensus Mechanism for Energy-Efficient Transaction Processing in Distributed Applications

Authors

  • Kamoliddin Kabilov Department of History, Termez University of Economics and Service, Termez, Uzbekistan Author
  • Ali Khan Researcher Author

DOI:

https://doi.org/10.66592/1fhe246tp

Keywords:

Blockchain consensus; energy efficiency; Byzantine fault tolerance; adaptive committees; distributed applications; transaction throughput; scalability; quorum certificates

Abstract

Blockchain-based distributed applications require verifiable transaction ordering, Byzantine fault tolerance, and sustainable operation under changing network loads. Conventional proof-of-work approaches consume substantial energy, while classical Byzantine agreement can incur high communication overhead as validator populations grow. This paper proposes Adaptive Committee-based Energy-Aware Byzantine Consensus (ACE-BC), a conceptual protocol combining verifiable committee rotation, stake-weighted eligibility, a pipelined quorum-certificate voting process, adaptive transaction batching, and power-aware validator scheduling. A threat model, protocol workflow, safety assumptions, and mathematical optimization model are specified. An illustrative analytical evaluation compares ACE-BC with representative PBFT-like and HotStuff-like configurations using explicitly assumed throughput, latency, and power values; these values are scenario examples, not measurements from an implemented system. The analysis demonstrates how smaller active committees and higher useful transaction throughput could reduce modeled energy per committed transaction, while exposing trade-offs in committee capture probability, fairness, and liveness. The proposed design provides a reproducible blueprint for future simulator and testbed validation rather than a claim of demonstrated superiority.

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Published

2025-09-30

How to Cite

A Scalable Blockchain Consensus Mechanism for Energy-Efficient Transaction Processing in Distributed Applications. (2025). Avyukta Journal of Management and Social Sciences, 10(03), 9-17. https://doi.org/10.66592/1fhe246tp