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Relevant bibliographies by topics / Consensus Based Applications

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Journal articles

Academic literature on the topic 'Consensus Based Applications'

Author: Grafiati

Published: 10 March 2023

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Journal articles on the topic "Consensus Based Applications"

1

MOSTEFAOUI, A., and M. RAYNAL. "LEADER-BASED CONSENSUS." Parallel Processing Letters 11, no. 01 (2001): 95–107. http://dx.doi.org/10.1142/s0129626401000452.

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It is now well recognized that consensus is a fundamental problem one has to solve to implement reliable applications on top of unreliable asynchronous distributed systems prone to failures. It has been shown that this problem cannot be solved if the underlying asynchronous system does not satisfy additional assumptions. This paper presents a new consensus protocol based on a leader oracle (denoted Ω in the litterature). Although this protocol uses asynchronous rounds, it is not based on the rotating coordinator paradigm. As a consequence, it does not suffer from drawbacks inherent to ♢S-based

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2

Li, Wenjun, and Huaiyu Dai. "Cluster-based distributed consensus." IEEE Transactions on Wireless Communications 8, no. 1 (2009): 28–31. http://dx.doi.org/10.1109/t-wc.2009.071146.

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3

Uddin, Moin, Muhammad Muzammal, Muhammad Khurram Hameed, Ibrahim Tariq Javed, Bandar Alamri, and Noel Crespi. "CBCIoT: A Consensus Algorithm for Blockchain-Based IoT Applications." Applied Sciences 11, no. 22 (2021): 11011. http://dx.doi.org/10.3390/app112211011.

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Internet of things is widely used in the current era to collect data from sensors and perform specific tasks through processing according to the requirements. The data collected can be sent to a blockchain network to create secure and tamper-resistant records of transactions. The combination of blockchain with IoT has huge potential as it can provide decentralized computation, storage, and exchange for IoT data. However, IoT applications require a low-latency consensus mechanism due to its constraints. In this paper, CBCIoT, a consensus algorithm for blockchain-based IoT applications, is propo

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4

Yang, Tao, Di Wu, Yannan Sun, and Jianming Lian. "Minimum-Time Consensus-Based Approach for Power System Applications." IEEE Transactions on Industrial Electronics 63, no. 2 (2016): 1318–28. http://dx.doi.org/10.1109/tie.2015.2504050.

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5

Stankovic, Srdjan S., Milos S. Stankovic, and Dusan M. Stipanovic. "Consensus Based Overlapping Decentralized Estimator." IEEE Transactions on Automatic Control 54, no. 2 (2009): 410–15. http://dx.doi.org/10.1109/tac.2008.2009583.

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6

Pan, Shin-Hung, and Shu-Ching Wang. "Optimal Consensus with Dual Abnormality Mode of Cellular IoT Based on Edge Computing." Sensors 21, no. 2 (2021): 671. http://dx.doi.org/10.3390/s21020671.

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The continuous development of fifth-generation (5G) networks is the main driving force for the growth of Internet of Things (IoT) applications. It is expected that the 5G network will greatly expand the applications of the IoT, thereby promoting the operation of cellular networks, the security and network challenges of the IoT, and pushing the future of the Internet to the edge. Because the IoT can make anything in anyplace be connected together at any time, it can provide ubiquitous services. With the establishment and use of 5G wireless networks, the cellular IoT (CIoT) will be developed and

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7

Ge, Lina, Jie Wang, and Guifen Zhang. "Survey of Consensus Algorithms for Proof of Stake in Blockchain." Security and Communication Networks 2022 (May 29, 2022): 1–13. http://dx.doi.org/10.1155/2022/2812526.

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As the core of blockchain technology, the consensus algorithm directly affects the security, stability, and decentralisation of the blockchain and numerous other important characteristics. Choosing an appropriate consensus algorithm for different scenarios is currently a challenge in the implementation of blockchain applications. This paper classifies the improvement schemes of proof of stake (PoS) into three categories: PoS-based consensus algorithms, PoS- and PoW-based consensus algorithms, and PoS- and BFT-based consensus algorithms. First, the study introduces the PoS and PoS consensus alg

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8

Sebbak, Faouzi, and Farid Benhammadi. "Majority-consensus fusion approach for elderly IoT-based healthcare applications." Annals of Telecommunications 72, no. 3-4 (2016): 157–71. http://dx.doi.org/10.1007/s12243-016-0550-7.

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9

Geng, Tieming, Laurent Njilla, and Chin-Tser Huang. "Delegated Proof of Secret Sharing: A Privacy-Preserving Consensus Protocol Based on Secure Multiparty Computation for IoT Environment." Network 2, no. 1 (2022): 66–80. http://dx.doi.org/10.3390/network2010005.

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With the rapid advancement and wide application of blockchain technology, blockchain consensus protocols, which are the core part of blockchain systems, along with the privacy issues, have drawn much attention from researchers. A key aspect of privacy in the blockchain is the sensitive content of transactions in the permissionless blockchain. Meanwhile, some blockchain applications, such as cryptocurrencies, are based on low-efficiency and high-cost consensus protocols, which may not be practical and feasible for other blockchain applications. In this paper, we propose an efficient and privacy

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10

Onan, Aytuğ. "Consensus Clustering-Based Undersampling Approach to Imbalanced Learning." Scientific Programming 2019 (March 3, 2019): 1–14. http://dx.doi.org/10.1155/2019/5901087.

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Class imbalance is an important problem, encountered in machine learning applications, where one class (named as, the minority class) has extremely small number of instances and the other class (referred as, the majority class) has immense quantity of instances. Imbalanced datasets can be of great importance in several real-world applications, including medical diagnosis, malware detection, anomaly identification, bankruptcy prediction, and spam filtering. In this paper, we present a consensus clustering based-undersampling approach to imbalanced learning. In this scheme, the number of instanc

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