区块链的下一代协议设计奖励与网络工具
Muhammad Zeshan Arshad1,2, Ali Algarni3,4
1Department of Mathematics and Statistics, University of Agriculture, Faisalabad, Pakistan. profarshad@yahoo.com.
Scientific reports
|November 27, 2025
概括
设计公平的区块链奖励机制需要考虑矿工行为. 我们的模拟框架显示,自适应策略最好平衡奖励,减少和提高分散系统中的公平性.
科学领域:
- 区块链技术 区块链技术
- 计算机科学 计算机科学
- 经济学 经济学 经济学
背景情况:
- 设计有效的区块链奖励机制是复杂的.
- 现有的方法往往忽略了矿工之间的行为变化.
- 公平性和稳定性对去中心化系统至关重要.
研究的目的:
- 开发和评估区块链奖励机制的模拟框架.
- 用作为关键指标来评估奖励的公平性和稳定性.
- 为了比较不同奖励分配策略的表现.
主要方法:
- 开发了一个模拟框架,以模拟矿工行为,以日志正常执行时间和不同任务复杂度.
- 评估了三个奖励策略:传统的基线,挖矿X和自适应X.
- 使用核心密度估计 (KDE) 和实证累积分布函数 (ECDF) 分析了奖励分布.
- 度指标 (Shannon,Rényi,Tsallis,正常化Shannon) 是根据分离的奖励分布进行计算的.
- 为可重现的分析创建了一个交互式的Shiny应用程序.
主要成果:
- 适应X策略表现出卓越的表现,产生了最敏感的行为和公平的奖励分配.
- 与基线和采矿X相比,适应X在所有四个测量指标中实现了最低的.
- 与传统基线相比,自适应X显著降低了,香农降低了41.5%,正常化香农降低了35.2%.
结论:
- 拟议的模拟框架为评估区块链奖励机制提供了一个强大的方法.
- 适应X策略成为一种高效的方法,可以提高分散式系统的公平性和稳定性.
- 这项工作提供了一个基于证据的,可部署的解决方案,用于优化区块链中的奖励分配.
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