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检索条件"主题词=Consensus algorithm"

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Key Characteristics to Create Optimized Blockchain consensus algorithms 20th

Key Characteristics to Create Optimized Blockchain Consensus...

引用

20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society (I3E)

作者： Leo, J. Hattingh, M. J. Univ Pretoria Private Bag X20 ZA-0028 Pretoria South Africa

ISBN: (纸本)9783030854461;9783030854478

Blockchain is a fairly new technology and still in its infancy. As a result, many research papers are creating optimized consensus algorithms. Therefore, a need for key characteristics to create optimized blockchain consensus algorithms has been identified. This research paper presents the results of a systematic literature on identifying the main blockchain consensus algorithms and their associated advantages and disadvantages. Papers from four different databases were retrieved and after exclusion criteria were applied, 44 papers were ultimately included in the review. Results indicated that the five main consensus algorithms were Proof-of-Work (PoW), Proof-of-Stake (PoS), Practical Byzantine Fault Tolerance (PBFT), and Delegated Proof-of-Stake. The results further indicated that efficiency was the main advantage of the PoS, PBFT, PoA and hybrid consensus algorithms. The main disadvantage was "energy wastage" and was attributed to the PoW algorithm. Security concerns were the main disadvantage of the PoS algorithm. These findings were used to present key characteristics that future researchers can have in mind when creating optimized blockchain consensus algorithms.

关键词： Blockchain consensus algorithm Proof-of-Work (PoW) Proof-of-Stake (PoS)

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Blockchain and consensus algorithms in Internet of Things 13

Blockchain and Consensus Algorithms in Internet of Things

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13th International Symposium on Electronics and Telecommunications (ISETC)

作者： Zoican, Sorin Vochin, Marius Zoican, Roxana Galatchi, Dan Politehn Univ Telecommun Dept Bucharest Romania

ISBN: (纸本)9781538659250

this paper focuses on the performance evaluation of consensus algorithms used in a blockchain system for Internet of Things (IoT). In such systems the time necessary to achieve consensus should be small. Three most used consensus algorithms (modified proof of work, practical byzantine fault tolerance and binary consensus) are evaluated in different situations - type of motes, number of nodes participating in consensus algorithm and radio propagation model. An integrated solution is proposed to adapt an IoT node to different consensus algorithm. The simulations in Contiki IoT operating system show good performance (time to achieve consensus less than seconds)

关键词： consensus algorithm Internet of Things blockchain

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Describing and verifying malicious fault-tolerant consensus algorithms using PlusCAL and C languages 29

Describing and verifying malicious fault-tolerant consensus ...

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29th Pacific Rim International Symposium on Dependable Computing

作者： Ono, Aoi Tsuchiya, Tatsuhiro Osaka Univ Suita Osaka Japan

Designing distributed algorithms is challenging owing to asynchrony and faults. In this study, we formally describe two malicious fault-tolerant consensus algorithms using two languages, PlusCAL and C, and perform mod... 详细信息

ISBN: (纸本)9798331540746;9798331540753

关键词： consensus algorithm malicious fault model checking PlusCAL TLC CBMC

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Distributed Formation Control of Autonomous Underwater Vehicles Based on Flocking and consensus algorithms 10th

Distributed Formation Control of Autonomous Underwater Vehic...

引用

10th International Conference on Intelligent Robotics and Applications (ICIRA

作者： Pan, Wuwei Jiang, Dapeng Pang, Yongjie Qi, Yuda Luo, Daichao Harbin Engn Univ Sci & Technol Underwater Vehicle Lab Harbin 150001 Peoples R China

ISBN: (纸本)9783319652894;9783319652887

In this paper, a distributed formation controller of autonomous underwater vehicles is presented. An artificial potential field is proposed based on the Lennard-Jones potential. A weight function is designed to make the potential smoothly die off at the boundaries. A control algorithm is proposed according to the three rules of Reynolds: flock centering, collision avoidance and velocity matching. A single-step target tracking method is proposed to translate the desired acceleration, produced by the potential force, to the desired velocity and heading for the AUV. To make the algorithm distributed, each AUV holds a copy of the virtual leader and calculates the guidance information individually. A consensus algorithm is proposed to make the mismatches convert to zeros. A fold line and a curve line path following of the fleet are simulated, with random initial positions of the AUVs. Under the formation control algorithms proposed, the AUVs are uniformly distributed and form a lattice-like formation. We increase the number of AUVs, and the algorithm serves well, which shows good availability and flexibility.

关键词： Autonomous underwater vehicle Distributed control Formation control Flocking algorithm consensus algorithm

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Evaluating Robustness of consensus algorithms Under Measurement Error over Digraphs 57

Evaluating Robustness of Consensus Algorithms Under Measurem...

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57th IEEE Conference on Decision and Control (CDC)

作者： Ji, Chengda Mallada, Enrique Gayme, Dennice F. Johns Hopkins Univ Dept Mech Engn 3400 N Charles St Baltimore MD 21218 USA Johns Hopkins Univ Dept Elect & Comp Engn 3400 N Charles St Baltimore MD 21218 USA

ISBN: (纸本)9781538613955

consensus algorithms constitute a powerful tool for computing average values or coordinating agents in many distributed applications. Unfortunately, the same property that allows this computation (i.e., the nontrivial nullspace of the state matrix) leads to unbounded state variance in the presence of measurement errors. In this work, we explore the trade-off between relative and absolute communication (feedback) in the presence of measurement errors. We evaluate the robustness of first and second order integrator systems under a parameterized family of controllers (homotopy), that continuously trade between relative and absolute feedback interconnections, in terms of the H-2 norm of an appropriately defined input-output system. Our approach extends the previous H-2 norm based analysis to systems with directed feedback interconnections whose underlying weighted graph Laplacians are diagonalizable. Our results indicate that any level of absolute communication is sufficient to achieve a finite H-2 norm, but purely relative feedback can only achieve finite norms when the measurement error is not exciting the subspace associated with the consensus state. Numerical examples demonstrate that smoothly reducing the proportion of absolute feedback in double integrator systems smoothly decreases the system performance (increases the H-2 norm) and that this performance degradation is more rapid in systems with relative feedback in only the first state (position).

关键词： Measurement errors Laplace equations Robustness Eigenvalues and eigenfunctions consensus algorithm System performance Measurement uncertainty

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A Review of Recent Trends in Blockchain consensus algorithms: Artificial Intelligence-Based Approaches 28

A Review of Recent Trends in Blockchain Consensus Algorithms...

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28th Asia-Pacific Conference on Communications (APCC)

作者： Windiatmaja, Jauzak Hussaini Salman, Muhammad Sari, Riri Fitri Univ Indonesia Fac Engn Dept Elect Engn Depok Indonesia

ISBN: (纸本)9798350382617

Blockchain has emerged as an important technology, offering safe, decentralized, and transparent platforms for recording and validating transactions. Blockchain technology consist of several main components, i.e., consensus algorithm. The consensus algorithm guarantees that all participating nodes in a blockchain network agree over the data control. Traditional consensus methods, such as Proof of Work (PoW) and Proof of Stake (PoS), present issues in terms of energy consumption and attack vulnerability. To overcome these constraints, there has been a rising interest in incorporating Artificial Intelligence (AI) techniques, especially deep learning, into blockchain consensus algorithms. We highlight blockchain fundamentals in this article, while also stressing the importance of the consensus algorithm. Furthermore, we address the most recent advancements in blockchain consensus methods in both performance-based and reputation-based paradigm, emphasizing the use of AI inside these decentralized systems. The use of AI, especially deep learning, in consensus algorithms has the potential to overcome the limitations of previous techniques. Blockchain networks may improve its performance by employing AI capabilities. However, incorporating AI into blockchain consensus algorithms is having its own challenges. Therefore, we also highlight several issues related with AI-based techniques in blockchain consensus algorithms, such as dealing with the quality and variety of data utilized by consensus algorithms and maintaining the openness of the AI models. In addition to those challenges, we propose a future direction for the AI-based approach in blockchain, which includes merging the mechanisms of performance-based and reputation-based consensus algorithms to incorporate the merits of both methods.

关键词： Blockchain consensus algorithm Artificial Intelligence Deep Learning

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Enhancing IMM Accuracy through consensus algorithms for Cooperative Target Tracking 16

Enhancing IMM Accuracy through Consensus Algorithms for Coop...

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16th International Conference on Microwave and Millimeter Wave Technology (ICMMT)

作者： Wang, Qiang Li, Guowei Xia, Lei Zhang, Shurui Sheng, Weixing Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Peoples R China

ISBN: (纸本)9798350389968

This paper delves into the consensus algorithm and multi-model algorithm within sensor networks. To enhance the tracking capabilities for maneuvering targets, extending tracking from single sensors to a multi-sensor network becomes imperative. However, due to measurement errors among sensors, the algorithmic outputs from different sensors often exhibit inconsistencies. To ensure consensus among these results, a consensus algorithm is introduced. Information transmission between sensor networks relies on this consensus algorithm. Additionally, the fusion algorithm for each sensor is executed through the multi-model algorithm.

关键词： IMM consensus algorithm Maneuvering target tracking

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A Survey of consensus algorithms for Blockchain Technology

A Survey of Consensus Algorithms for Blockchain Technology

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International Conference on Computer and Information Sciences (ICCIS)

作者： Alsunaidi, Shikah J. Alhaidari, Fahd A. Imam Abdulrahman Bin Faisal Univ Coll Comp Sci & Informat Technol Dept Comp Sci POB 1982 Dammam 31441 Saudi Arabia

ISBN: (纸本)9781538681251

Blockchain technology is a new shift in the Internet world, it has brought about changes in many sectors. Where transactions can be securely accomplished via point-to-point connections in a distributed system without the need for a third-party, with the help of consensus algorithms. In this paper, we will conduct a comprehensive survey on the Blockchain technology with focusing in the popular consensus algorithms, in order to figure out their features, and the factors that affect the performance and security. Also, we will provide a classification of the consensus algorithms and we will perform a comprehensive comparison of studied consensus algorithms. In addition, we will provide a detailed discussion of the consensus algorithms that studied with an analysis of the main factors affecting these algorithms. Finally, we will refer to some recommendations that must be considered and which can contribute to the development of this area.

关键词： Blockchain consensus algorithm Proof-based Vote-based

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Adaptive consensus algorithms for Matrix-Weighted Networks with Parametric Uncertainties 11

Adaptive Consensus Algorithms for Matrix-Weighted Networks w...

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11th International Conference on Control, Automation and Information Sciences (ICCAIS)

作者： Hieu Minh Nguyen Hung Manh Nguyen Viet Hoang Pham Quoc Van Tran Chuong Van Nguyen Minh Hoang Trinh Hyo-Sung Ahn Hanoi Univ Sci & Technol HUST Sch Elect & Elect Engn Dept Automat Engn Hanoi Vietnam Gwangju Inst Sci & Technol GIST Sch Mech Engn Gwangju South Korea Hanoi Univ Sci & Technol HUST Sch Mech Engn Dept Mechatron Hanoi Vietnam Univ Southern Calif Viterbi Sch Engn Dept Aerosp & Mech Engn Los Angeles CA 90089 USA

ISBN: (数字)9781665452489

ISBN: (纸本)9781665452489

In this paper, we study the consensus problem for agents with parametric uncertainties interacting over matrix-weighted graphs. First, an adaptive matrix-weighted consensus algorithms for single-integrator agents is proposed and then extended to double- and higher-order integrator agents. Second, adaptive model-reference adaptive matrix-weighted consensus and its robustness are discussed. For each proposed consensus algorithm, conditions for the adaptive variables to converge to the uncertain parameters are also given. Finally, applications of the proposed consensus algorithms in displacement-based network localization and formation control are discussed and demonstrated by simulations.

关键词： Location awareness Adaptation models Sufficient conditions Uncertainty Adaptive systems Neural networks consensus algorithm

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Research on the Performance Analysis of Mainstream consensus algorithms of Consortium Blockchains 2

Research on the Performance Analysis of Mainstream Consensus...

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2nd International Conference on Mobile Internet, Cloud Computing and Information Security (MICCIS)

作者： Xiong, Weizhi Yao, Xiu Deng, Xiaohong Gannan Univ Sci & Technol Sch Informat Engn Ganzhou Peoples R China

ISBN: (纸本)9798350389913;9798350389906

The diverse range of consensus algorithms poses a challenge in selecting the most suitable one for practical application scenarios. Addressing the lack of quantitative performance comparison among consortium blockchain consensus algorithms, this paper quantifies key performance indicators in consensus algorithm evaluation. Furthermore, it designs a performance evaluation framework and employs it to conduct theoretical and empirical analyses of mainstream consensus algorithms in consortium blockchains. Finally, the paper outlines the advantages and limitations of each consensus algorithm and identifies the factors constraining their performance.

关键词： blockchain consensus algorithm quantitative assessment

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