arrow
Return

POWER: High-Throughput Blockchain Based on Computing Power Utilization

delete2026-02-09
delete0
PRE
AI
H
Hao Yang
J
Jing Chen
何
何琨 (Kun He)
M
Meng Jia
K
Kai Li
C
Chen Zhang
R
Ruiying Du
DOI:10.1109/TON.2026.3662715delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Proof-of-Work (PoW) based blockchain reaches consensus by solving computational puzzles, with only the winners generating blocks. In other words, most nodes waste their computing power, resulting in a mismatch between transaction throughput and system scale (i.e., the number of nodes). In this paper, we propose POWER, a high transaction throughput blockchain architecture that utilizes node computing power. Specifically, by introducing hook block and transaction block, we design a parallel structure to increase the utilization of the computing power of nodes that package and add transactions to the blockchain. In the parallel structure, the hook block hangs the transaction block and solves the problem of transaction redundancy. We also present a round interval confirmation mechanism to increase the utilization of the computing power of nodes that confirm transactions. We conduct experiments on POWER and the experiment results show that POWER has a 63% higher transaction throughput and a 51% lower transaction confirmation latency compared to other schemes. In particular, the transaction confirmation accuracy of POWER is 5.9 times better than that of OHIE.
Keywords:
Consensus
proof of work
blockchain

Journal

I
IEEE Transactions on Networking
IF:
0
Papers:
551
Citations:
0

Organization

W
Wuhan University
Scholars:
5.0K
Papers: 1.7K
Citations: 10.0W
Cited Papers

Cited Papers

Decentralization in Bitcoin and Ethereum Networks
err2018-12-07
err0
PREAI
errAdem Efe Gencer; Soumya Basu; Ittay Eyal; Robbert van Renesse; Emin Gün Sirer
errShare
errSave
PHANTOM GHOSTDAG
err2021-11-23
err0
PREAI
errYonatan Sompolinsky; Shai Wyborski; Aviv Zohar
errShare
errSave
The Bitcoin Backbone Protocol: Analysis and Applications
err2015-04-14
err0
errOAAI
errJuan Garay; Aggelos Kiayias; Nikos Leonardos
errShare
errSave
err
IF0
err
err0
PREAI
err
errShare
errSave
Prism
err2019-11-06
err0
errOAAI
errVivek Bagaria; Sreeram Kannan; David Tse; Giulia Fanti; Pramod Viswanath
errShare
errSave
researcher View more