RVR Blockchain Consensus: A Verifiable, Weighted-Random, Byzantine-Tolerant Framework for Smart Grid Energy Trading

Blockchain technology empowers decentralized transactions in smart grids, but existing consensus algorithms face efficiency and security bottlenecks under Byzantine attacks. This article proposes the RVR consensus algorithm, which innovatively integrates dynamic reputation evaluation, verifiable random function (VRF), and a weight-driven probability election mechanism to achieve (1) behavior-aware dynamic adjustment of reputation weights and (2) manipulation-resistant random leader election via VRF. Experimental verification shows that under a silence attack, the maximum latency is reduced by 37.88% compared to HotStuff, and under a forking attack, the maximum throughput is increased by 50.66%, providing an efficient and secure new paradigm for distributed energy trading.

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Publication Details

Journal
Computers
Published
2025-06-13
DOI
https://doi.org/10.3390/computers14060232
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

RVR Blockchain Consensus: A Verifiable, Weighted-Random, Byzantine-Tolerant Framework for Smart Grid Energy Trading

Jining Chen, Xiao Liu, Huijian Wang
Computers
Blockchain Technology Applications and Security
article

RVR Blockchain Consensus: A Verifiable, Weighted-Random, Byzantine-Tolerant Framework for Smart Grid Energy Trading

Jining Chen, Xiao Liu, Huijian Wang
article en

Abstract

Blockchain technology empowers decentralized transactions in smart grids, but existing consensus algorithms face efficiency and security bottlenecks under Byzantine attacks. This article proposes the RVR consensus algorithm, which innovatively integrates dynamic reputation evaluation, verifiable random function (VRF), and a weight-driven probability election mechanism to achieve (1) behavior-aware dynamic adjustment of reputation weights and (2) manipulation-resistant random leader election via VRF. Experimental verification shows that under a silence attack, the maximum latency is reduced by 37.88% compared to HotStuff, and under a forking attack, the maximum throughput is increased by 50.66%, providing an efficient and secure new paradigm for distributed energy trading.

ComputersVol. 14(6)
Guangxi University (CN), Guangxi Zhuang Autonomous Region Health and Family Planning (CN)
Openalex Percentile: Top 81%
Blockchain Technology Applications and Security
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RVR Blockchain Consensus: A Verifiable, Weighted-Random, Byzantine-Tolerant Framework for Smart Grid Energy Trading — Jining Chen, Xiao Liu, et al. · Computers (2025) | TGRS Research Map | TGRS