托管分布式账本技术的公平高效交互式能源交易框架

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2025-01-27 DOI:10.1109/TII.2024.3514208
Hossein Chabok;Ali Moeini;Innocent Kamwa
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引用次数: 0

摘要

区块链技术(BT)被认为是一个经过验证的安全的金融事务平台。然而,它作为一个无可辩驳的抗攻击平台来保护点对点(P2P)网络的适用性是研究人员争论的问题。在这方面,本文主要讨论如何使用BT来保护完全的P2P网络。提出了一种公平高效的全P2P能源交易系统区块链层共识达成方法。此外,本文还为代理之间的双边交易提供了一个新的产品差异化指标,该指标与安全层更加兼容。最后,提出了一种自适应自调优的快速交替方向乘法器分布式算法来清理P2P市场。结果表明,与权益证明和工作量证明共识方法相比,所提出的BT共识方法在公平性和能源效率方面具有优越性,并且具有抗Sybil攻击和51%攻击的攻击率。
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A Fair and Efficient Transactive Energy Trading Framework Hosting Distributed Ledger Technology
Blockchain technology (BT) is considered a proven secure platform for financial affairs. However, its applicability as an irrefutable attack-resistive platform for securing peer-to-peer (P2P) networks is a matter of debate among researchers. In this regard, this article concentrates on using the BT for securing fully P2P networks. A new fair and energy-efficient method is presented for consensus achievement in the blockchain layer for fully P2P transactive energy systems. Also, a new product differentiator index is represented in this article for bilateral trading among the agents that is more compatible with the security layer. Finally, a self-adaptive-self-tuning fast alternating direction method of multipliers distributed algorithm is presented to clear the P2P market. Results demonstrate the superiority of the proposed BT's consensus method in terms of fairness and energy efficiency compared to the proof-of-stake and proof-of-work consensus methods and its attack resistivity against Sybil attack and 51% attack.
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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