TY - GEN
T1 - A Segmentation-Based Scheme to Expedite Block Propagation in Blockchain Networks
AU - Qiu, Zhihan
AU - Zhao, Qinglin
AU - Feng, Li
AU - Zhou, Meng Chu
AU - Shen, Meng
AU - Liu, Yi
AU - Sun, Yi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Blockchain technology, the foundation of cryptocurrencies like Bitcoin, has utility beyond finance due to its decentralized and secure transactional nature. However, today's blockchain networks face the challenge of low transaction throughput due to block propagation delays. In this study, we propose a novel approach that divides large blocks into segments and leverages multi-origin pipelining for segment dissemination, thereby expediting block propagation. The scheme also integrates the use of a Bloom filter for lightweight segment integrity verification to prevent the reception of tampered segments. Simulation results reveal that our scheme outperforms Bitcoin's legacy approach, demonstrating significant improvement in propagation speed, particularly for large blocks, while maintaining a low fork rate.
AB - Blockchain technology, the foundation of cryptocurrencies like Bitcoin, has utility beyond finance due to its decentralized and secure transactional nature. However, today's blockchain networks face the challenge of low transaction throughput due to block propagation delays. In this study, we propose a novel approach that divides large blocks into segments and leverages multi-origin pipelining for segment dissemination, thereby expediting block propagation. The scheme also integrates the use of a Bloom filter for lightweight segment integrity verification to prevent the reception of tampered segments. Simulation results reveal that our scheme outperforms Bitcoin's legacy approach, demonstrating significant improvement in propagation speed, particularly for large blocks, while maintaining a low fork rate.
KW - block propagation delay
KW - block segmentation
KW - blockchain
KW - multi-origin propagation
KW - segment pipelining
UR - http://www.scopus.com/inward/record.url?scp=85213302022&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85213302022&partnerID=8YFLogxK
U2 - 10.1109/ICNSC62968.2024.10760059
DO - 10.1109/ICNSC62968.2024.10760059
M3 - Conference contribution
AN - SCOPUS:85213302022
T3 - ICNSC 2024 - 21st International Conference on Networking, Sensing and Control: Artificial Intelligence for the Next Industrial Revolution
BT - ICNSC 2024 - 21st International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Networking, Sensing and Control, ICNSC 2024
Y2 - 18 October 2024 through 20 October 2024
ER -