Problem: Blockchain consensus remains con-strained by slow transaction verification, redundant mining effort, high communication overhead, and increased confirmation latency as the number of nodes grows. Objective: This study proposes NCABS, a controlled parallel mining consensus approach intended to improve blockchain throughput, latency, transaction commit rate, and resource utilization. Methodology: NCABS combines verifiable head-miner selection, transaction-validation delegation, parallel block generation, and a 75%confirmation threshold. The framework is evaluated against Practical Byzantine Fault Tolerance (PBFT) through ten repeated experiments over node densities from 40 to 140, using throughput, latency, communication load, transaction commit rate, scalability, and responsiveness as performance metrics. Results: The plotted results show that NCABS achieves higher throughput and transaction commit rates than PBFT, reduces aggregate communication messages by approximately 45%, and lowers latency at 40 nodes from about 310 ms for PBFT to about 195 ms for NCABS. In the transaction-commit-rate experiment, NCABS reaches approximately 3200 transactions per second, compared with about 2200 transactions per second for PBFT. Conclusion: The findings indicate that controlled parallel mining can reduce redundant computation and communication while improving blockchain responsiveness. The current evaluation is performance-oriented; adversarial testing and broader empirical comparison with additional consensus baselines are identified as future work.
Sohail Jabbar. "Accelerating Blockchain Consensus: A Parallel Mining Approach for High-Throughput, Low-Latency Networks". International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 17, No. 6, 2026. https://doi.org/10.14569/IJACSA.2026.0170697
BibTeX
@article{Jabbar2026,
title = {Accelerating Blockchain Consensus: A Parallel Mining Approach for High-Throughput, Low-Latency Networks},
journal = {International Journal of Advanced Computer Science and Applications},
volume = {17},
number = {6},
year = {2026},
publisher = {The Science and Information Organization},
author = {Sohail Jabbar},
doi = {10.14569/IJACSA.2026.0170697},
url = {https://doi.org/10.14569/IJACSA.2026.0170697}
}
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