Primary node election based on probabilistic linguistic term set with confidence interval in the PBFT consensus mechanism for blockchain

• Published in: Complex & intelligent systems Vol. 9; no. 2; pp. 1507 - 1524
• Main Authors: Xie, Mingyue, Liu, Jun, Chen, Shuyu, Xu, Guangxia, Lin, Mingwei
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2023; Springer Nature B.V; Springer
• Subjects: Approximation; Attitudes; Blockchain; Complexity; Computational Intelligence; Confidence intervals; Cryptography; Data Structures and Information Theory; Decision making; Efficiency; Elections; Energy consumption; Engineering; Fault tolerance; Fuzzy sets; Intelligent systems; Linguistics; Nodes; Original Article; PBFT consensus mechanism; Primaries & caucuses; Primary node; Probabilistic linguistic term set; Semantics; Software engineering; Statistical analysis; TOPSIS; Voting; Probabilistic linguistic term set; PBFT consensus mechanism; TOPSIS; Blockchain; Primary node

This study proposes a primary node election method based on probabilistic linguistic term set (PLTS) for the practical Byzantine fault tolerance (PBFT) consensus mechanism to effectively enhance the efficiency of reaching consensus. Specifically, a novel concept of the probabilistic linguistic term...