Blockchain Fragmentation Mechanism for Node Heterogeneity

To enhance blockchain scalability, sharding technology enables parallel transaction processing, but existing solutions often neglect node heterogeneity, which introduces security risks and performance bottlenecks. This paper proposes a novel dynamic sharding scheme that dynamically allocates validators to shards based on their historical performance scores and computational power, ensuring balanced shard capacity and higher attack resistance. A tailored reward–penalty mechanism further incentivizes participation and discourages malicious behavior. Experimental evaluations demonstrate that our approach significantly outperforms prominent sharding protocols, including Elastico, OmniLedger, and RapidChain, by achieving higher throughput and lower latency. The proposed scheme effectively addresses node heterogeneity and enhances the overall scalability and security of blockchain systems.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-12-26
DOI
https://doi.org/10.3390/app16010254
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain Fragmentation Mechanism for Node Heterogeneity

Guangxia Xu, Yi Zheng
Applied Sciences
Blockchain Technology Applications and Security
article

Blockchain Fragmentation Mechanism for Node Heterogeneity

Guangxia Xu, Yi Zheng
article en

Abstract

To enhance blockchain scalability, sharding technology enables parallel transaction processing, but existing solutions often neglect node heterogeneity, which introduces security risks and performance bottlenecks. This paper proposes a novel dynamic sharding scheme that dynamically allocates validators to shards based on their historical performance scores and computational power, ensuring balanced shard capacity and higher attack resistance. A tailored reward–penalty mechanism further incentivizes participation and discourages malicious behavior. Experimental evaluations demonstrate that our approach significantly outperforms prominent sharding protocols, including Elastico, OmniLedger, and RapidChain, by achieving higher throughput and lower latency. The proposed scheme effectively addresses node heterogeneity and enhances the overall scalability and security of blockchain systems.

Applied SciencesVol. 16(1)
Chongqing University of Posts and Telecommunications (CN), Guangzhou University (CN), Peng Cheng Laboratory (CN)
Openalex Percentile: Top 23%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.