DC-PBFT: A PBFT Consensus Algorithm Based on Grouping Mode According to Delay Clustering
Abstract
ut. To address these, we propose DC-PBFT, a modified PBFT algorithm based on a clustering model and an improved k-means clus tering approach. We analyze the challenges in applying PBFT, then use enhanced k-means clustering to group nodes based on com munication delay, optimizing clustering and the consensus process. The improved algorithm effectively reduces consensus latency, i ncreases
throughput, and lowers communication costs. Experimental results show that DC-PBFT enhances efficiency and stability, improving
key performance metrics.
Keywords
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DOI: http://dx.doi.org/10.70711/frim.v2i10.5420
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