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38th International Conference on Information Networking (ICOIN)

作者： Jo, Mingyu Kim, Donghyeon Park, Sangoh Chung Ang Univ Sch Comp Sci & Engn Seoul South Korea

ISBN: (纸本)9798350330946;9798350330953

Maintaining data consistency in distributed computing is essential to maintain system reliability. To this end, many consensus techniques that can maintain data consistency even if a failure occurs are being studied, and research is being conducted on consensus techniques for Byzantine failures that can occur in unreliable public networks. In this paper, we introduce Byzantine fault tolerance consensus techniques: Practical Byzantine Fault Tolerance, High performance and Scalable Byzantine Fault Tolerance, and Zyzzyva. And we evaluate the performance of them. Afterward, directions for future research are presented.

关键词： byzantine fault tolerance consensus algorithm distributed system

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On Federated and Proof Of Validation Based consensus algorithms In Blockchain 1

On Federated and Proof Of Validation Based Consensus Algorit...

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International Conference on Materials, Alloys and Experimental Mechanics (ICMAEM)

作者： Ambili, K. N. Sindhu, M. Sethumadhavan, M. Amrita Univ Amrita Vishwa Vidyapeetham Amrita Sch Engn TIFAC CORE Cyber Secur Coimbatore Tamil Nadu India

Almost all real world activities have been digitized and there are various client server architecture based systems in place to handle them. These are all based on trust on third parties. There is an active attempt to successfully implement blockchain based systems which ensures that the IT systems are immutable, double spending is avoided and cryptographic strength is provided to them. A successful implementation of blockchain as backbone of existing information technology systems is bound to eliminate various types of fraud and ensure quicker delivery of the item on trade. To adapt IT systems to blockchain architecture, an efficient consensus algorithm need to be designed. Blockchain based on proof of work first came up as the backbone of cryptocurrency. After this, several other methods with variety of interesting features have come up. In this paper, we conduct a survey on existing attempts to achieve consensus in block chain. A federated consensus method and a proof of validation method are being compared.

关键词： Blockchain consensus algorithm Crypto currency Ripple Tendermint

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Performance Evaluation of Blockchain consensus algorithms For Electronic Health Record Sharing

Performance Evaluation of Blockchain Consensus Algorithms Fo...

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Global Congress on Electrical Engineering (GC-ElecEng)

作者： Hashim, Faiza Shuaib, Khaled Sallabi, Farag United Arab Emirates Univ Coll Informat Technol Al Ain U Arab Emirates

ISBN: (纸本)9781665420389

In any blockchain network, a consensus algorithm is considered a major factor in determining the performance of the network. This study aims to investigate consensus algorithms in healthcare blockchains for electronic health record (EHR) sharing by analyzing the scalability performance of these algorithms. Several consensus algorithms have been proposed in the literature and have been used for various types of blockchain networks. Herein, we analyze the performance of proof of work, practical Byzantine fault tolerance, and proof of authority (PoA) algorithms in the healthcare domain and propose an improved real-time PoA consensus algorithm for EHR sharing for faster consensus and block generation. Results of performed simulations show that the proposed algorithm outperforms previous consensus algorithms in terms of consensus time, number of blocks generated, network throughput, and scalability.

关键词： Healthcare blockchain electronic health record sharing consensus algorithm

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Optimal Selection of Intervention Timing in Opinion Dynamics

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IEEE Transactions on Automatic Control 2025年

作者： Zhang, Qi Wang, Lin Wang, Xiaofan Chen, Guanrong Shanghai Jiao Tong University Department of Automation Shanghai China Shanghai Jiao Tong University Department of Automation China Shanghai University School of Mechatronic Engineering and Automation China Shanghai Institute of Technology School of Electrical and Electronic Engineering Shanghai China City University of Hong Kong Department of Electrical Engineering Hong Kong Hong Kong

Differing from existing research on intervention strategies such as leader selection and edge addition, we investigate the impact of intervention timing in opinion dynamics. We employ the leader-based DeGroot model to formulate the evolution of opinions in social networks, wherein leaders represent organizations or parties that influence public opinion. We propose an optimal timing selection problem, in which a leader maximizes public opinion at a specific time by strategically selecting intervention times given a limited number of interventions. Our theoretical analysis shows that more interventions do not necessarily lead to better results, but additional interventions based on the existing intervention certainly do not worsen outcomes. Furthermore, we rigorously prove that intervention timing does not affect effectiveness if and only if all agents have the same weighted degree. Using the monotonicity and submodularity of the objective function, we develop a greedy algorithm and a time-importance-based heuristic algorithm to solve the problem. Our numerical simulations confirm the efficacy of these algorithms across both real-world social networks and synthetic random networks. © 1963-2012 IEEE.

关键词： consensus algorithm

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A Comparative Analysis of Proof-of-Authority consensus algorithms: Aura vs Clique

A Comparative Analysis of Proof-of-Authority Consensus Algor...

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IEEE International Conference on Services Computing (IEEE SCC)

作者： Islam, Md Mainul Merlec, Mpyana Mwamba In, Hoh Peter Korea Univ Dept Comp Sci Seoul South Korea

ISBN: (数字)9781665481465

ISBN: (纸本)9781665481465

Proof-of-authority (PoA) has become a popular consensus algorithm for permissioned blockchains, in which a group of trusted entities governs the networks. This algorithm provides fast consensus while requiring less computational resources and energy. Aura and Clique are two major implementations of PoA, which have their own set of advantages and disadvantages. In this paper, we evaluate the performance of both algorithms in terms of consistency, availability, partition tolerance, security, block time, and transaction throughput. The algorithms were implemented in Python, and experiments were conducted by connecting six consensus nodes having different computing power. The experimental results were comprehensively analyzed. It was observed that Clique provides higher availability and transaction throughput but lower security and consistency than Aura. The blockchains in the Aura network are immediately consistent while the blockchains stored by individual Clique authorities become eventually consistent. Permissioned blockchain practitioners will find this paper useful in choosing the most appropriate PoA implementation based on their requirements.

关键词： Blockchain consensus algorithm proof-of-authority Aura consensus Clique consensus Aura vs Clique

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A Zeroth-Order Proximal algorithm for consensus Optimization 63

A Zeroth-Order Proximal Algorithm for Consensus Optimization

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Wang, Chengan Ou, Zichong Lu, Jie ShanghaiTech University School of Information Science and Technology Shanghai201210 China

ISBN: (纸本)9798350316339

This paper considers a consensus optimization problem, where all the nodes in a network, with access to the zeroth-order information of its local objective function only, attempt to cooperatively achieve a common minimizer of the sum of their local objectives. To address this problem, we develop ZoPro, a zeroth-order proximal algorithm, which incorporates a zeroth-order oracle for approximating Hessian and gradient into a recently proposed, high-performance distributed secondorder proximal algorithm. We show that the proposed ZoPro algorithm, equipped with a dynamic stepsize, converges linearly to a neighborhood of the optimum in expectation, provided that each local objective function is strongly convex and smooth. Extensive simulations demonstrate that ZoPro converges faster than several state-of-the-art distributed zeroth-order algorithms and outperforms a few distributed second-order algorithms in terms of running time for reaching given accuracy. © 2024 IEEE.

关键词： consensus algorithm

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An algorithm Based on consensus for Active Power Sharing and Voltage Regulation Within Electrical Distribution Networks

An Algorithm Based on Consensus for Active Power Sharing and...

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2024 IEEE PES Generation, Transmission and Distribution Latin America Conference and Industrial Exposition, GTDLA 2024

作者： Giacomini, Jairo Cebrian, Juan Carlos Morales-Paredes, Helmo Kelis Sorocaba Brazil Dept. of Electrical Energy and Automation University of São Paulo São Paulo Brazil

ISBN: (纸本)9798331530549

Currently, the integration and coordination of a high quantity of distributed generators (DG) into traditional electrical distribution networks has introduced technical challenges to maintain electrical parameters, such as voltage and frequency, within acceptable levels. Distributed control schemes offer a promising solution to handle the computational demands of coordinating numerous DG units, enabling direct data sharing among DGs and simpler communication structures. This paper proposes a distributed control approach based on a leader-follower consensus algorithm to ensure voltage regulation across all grid buses. By regulating the active power injected by the DGs, the method aims to achieve consensus among the units and adjust power generation to maintain uniform operation. Simulations on the IEEE 34-bus network demonstrate the effectiveness of the proposed method under various load conditions, and in all cases where the proposed method was applied, the voltage was maintained within the allowed limits across all phases. © 2024 IEEE.

关键词： consensus algorithm

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Efficient and fast convergent consensus algorithms for faulty nodes tracking in distributed wireless sensor networks 3

Efficient and fast convergent consensus algorithms for fault...

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3rd International Conference on Electrical Engineering and Information and Communication Technology (ICEEICT)

作者： Hossain, Rajkin Khan, Md. Muhidul Islam Brac Univ Comp Sci & Engn Dept Dhaka Bangladesh

ISBN: (纸本)9781509029068

One of the challenging issues in a distributed computing system is to reach on a decision with the presence of so many faulty nodes. These faulty nodes may update the wrong information, provide misleading results and may be nodes with the depleted battery power. consensus algorithms help to reach on a decision even with the faulty nodes. Every correct node decides some values by a consensus algorithm. If all correct nodes propose the same value then all the nodes decide on that. Every correct nodes must agree on the same value. Faulty nodes do not reach on the decision that correct nodes agreed on. Binary consensus algorithm and average consensus algorithm are the most widely used consensus algorithm in a distributed system. We apply binary consensus and average consensus algorithm in a distributed sensor network with the presence of some faulty nodes. We evaluate these algorithms for better convergence rate and error rate.

关键词： Wireless sensor networks consensus algorithm Distributed systems Convergence Rate Faulty Node Tracking Binary consensus Average consensus

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Logistic Regression for Enhancing Scalability of Blockchain System

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Procedia Computer Science 2025年 252卷 146-153页

作者： Manjula K Pawar Prakashgoud Patil

Blockchain is a cutting-edge technology widely recognized for its applications to industry, business, and sustainable development goals. Its key features include tamper-proofing, decentralization, immutability, transparency, and security. Despite its numerous advantages, Challenges such as privacy and scalability persist. Scalability, is measured with respect to throughput, capacity, and latency, which are remains a crucial aspect of its functionality. The latency includes the timestamp of block inclusion in the blockchain. The proposed methodology suggests using a logistic regression method to enhance the scalability of a blockchain system. The suggested methodology involves analyzing the performance of logistic regression, resulting in higher transactions per second and lower latency time which is measured in milliseconds.

关键词： Blockchain Throughput Latency Scalability consensus algorithm Logistic Regression algorithm

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A Fast DC Analysis Method By Stochastic Matrix Iteration With Application to Multiport RC Network Reduction

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International Journal of Circuit Theory and Applications 2025年第0期

作者： Hao, Limin Shi, Guoyong Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China

In this paper, we present a novel formulation of the consensus principle for application to the DC analysis of a resistor–capacitor (RC) network driven by multiple sources. The consensus principle is essentially an iteration scheme that involves a row-stochastic matrix and converges. Implementation of this iteration method is deterministic, and its performance in solving the DC solutions of large RC networks excels the random walks (RWs) algorithm (which requires an implementation with random number generation). We report the performance comparison of applying this iteration algorithm and the RW algorithm in estimating the time constant of a multiport RC network which finds application in reducing large-scale multiport RC networks. © 2025 John Wiley & Sons Ltd.

关键词： consensus algorithm

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