Dynamic Strategy for Adaptive Block Size Optimization in Blockchain Technology DOI
Shafique Ahmed Awan, Muazzam A. Khan, Anwar Ali Sathio

et al.

Published: May 16, 2025

Abstract Blockchain technology transforms the ecosystem of digital world by introducing decentralization, security, and transparency. It plays a vital role in DeFi, healthcare, commerce, industries, education, supply chain management. However, scalability factor is challenge, especially block size for performance. affects transaction throughput, computational efficiency, energy usage, which creates gap that makes blockchain system move towards solutions. We presented dynamic framework optimizing addressing optimized solution issue. investigated Whale Optimization Algorithm (WOA) Particle Swarm (PSO) algorithms with advanced data structures, Merkle trees, Directed Acyclic Graphs (DAGs). The proposed improves processing while ensuring efficient resource designed helpful private networks. adapts to multiple domains, meeting diverse application requirements. scalable effective homogeneous network environments. This study highlights as critical suggests strategy increase capacity. ensures can handle growing users findings contribute making more scalable, efficient, sustainable future green tech ecosystems.

Language: Английский

Optimizing Merkle Proof Size Through Path Length Analysis: A Probabilistic Framework for Efficient Blockchain State Verification DOI Creative Commons
Alexandr Kuznetsov, Emanuele Frontoni, Alexandr Kuznetsov

et al.

Future Internet, Journal Year: 2025, Volume and Issue: 17(2), P. 72 - 72

Published: Feb. 7, 2025

This study addresses a critical challenge in modern blockchain systems: the excessive size of Merkle proofs state verification, which significantly impacts scalability and efficiency. As highlighted by Ethereum’s founder, Vitalik Buterin, current Patricia Tries (MPTs) are highly inefficient for stateless clients, with worst-case reaching approximately 300 MB. We present comprehensive probabilistic analysis path length distributions MPTs to optimize proof while maintaining security guarantees. Our novel mathematical model characterizes distribution lengths tries containing random validates it through extensive computational experiments. The findings reveal logarithmic scaling average respect number addresses, unprecedented precision predicting structural properties across scales from 100 million addresses. research demonstrates remarkable accuracy, discrepancies between theoretical experimental results not exceeding 0.01 all tested scales. By identifying verifying right-skewed nature distributions, we provide insights optimizing generation reduction. practical implementation guidelines demonstrate potential reductions up 70% optimized structuring node layout. work bridges gap computer science engineering, offering immediate applications client optimization efficient state-proof generation.

Language: Английский

Citations

0
Optimization Methods for Merkle Tree in Blockchain DOI
Thị Thu Hương Phạm, Văn Đức Nguyễn,

Tri Nguyen

et al.

Lecture notes in computer science, Journal Year: 2025, Volume and Issue: unknown, P. 127 - 139

Published: Jan. 1, 2025

Language: Английский

Citations

0
Mitigating Blockchain Extractable Value threats by Distributed Transaction Sequencing Strategy DOI Creative Commons
Xiongfei Zhao, Hou-Wan Long, Z Li

et al.

Digital Communications and Networks, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Stochastic Modeling of Path Length Dynamics in Ethereum’s Merkle Patricia Tries DOI
Alexandr Kuznetsov, Kateryna Kuznetsova, Anton Yezhov

et al.

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 282 - 294

Published: Jan. 1, 2025

Language: Английский

Citations

0
Dynamic Strategy for Adaptive Block Size Optimization in Blockchain Technology DOI
Shafique Ahmed Awan, Muazzam A. Khan, Anwar Ali Sathio

et al.

Published: May 16, 2025

Abstract Blockchain technology transforms the ecosystem of digital world by introducing decentralization, security, and transparency. It plays a vital role in DeFi, healthcare, commerce, industries, education, supply chain management. However, scalability factor is challenge, especially block size for performance. affects transaction throughput, computational efficiency, energy usage, which creates gap that makes blockchain system move towards solutions. We presented dynamic framework optimizing addressing optimized solution issue. investigated Whale Optimization Algorithm (WOA) Particle Swarm (PSO) algorithms with advanced data structures, Merkle trees, Directed Acyclic Graphs (DAGs). The proposed improves processing while ensuring efficient resource designed helpful private networks. adapts to multiple domains, meeting diverse application requirements. scalable effective homogeneous network environments. This study highlights as critical suggests strategy increase capacity. ensures can handle growing users findings contribute making more scalable, efficient, sustainable future green tech ecosystems.

Language: Английский

Citations

0