Vivek Ramji, Stony Brook University, USA

This paper presents a novel scalable consensus algorithm designed for blockchain networks, aimed at improving transaction throughput and reducing latency in distributed systems. The proposed algorithm leverages a hierarchical structure of nodes, where consensus is achieved through a multi-layered approach that balances workload across the network. By utilizing dynamic node selection and adaptive communication protocols, the algorithm ensures robustness against network partitions and Byzantine failures. Experimental results demonstrate significant improvements in scalability, with the algorithm achieving high transaction throughput even under varying network conditions. The proposed approach provides a viable solution for enhancing the efficiency of blockchain networks in real-world applications.

Distributed System, Consensus Algorithm, Fault Tolerance, Blockchain Consensus