Collaborative Research: CNS Core: Small: Cooperation and Competition in Payment Channel Networks: Routing, Pricing, and Network Formation

合作研究: CNS 核心:小型:支付渠道网络中的合作与竞争:路由、定价和网络形成

基本信息

  • 批准号:
    2008935
  • 负责人:
  • 金额:
    $ 25.2万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

The scalability of blockchain-based cryptocurrencies such as Bitcoin and Ethereum hinders their wide adoption. This is due to the massive resource consumption required by their underlying consensus mechanisms for guaranteeing the unique and synchronized global state. To address this scalability issue, Payment Channel Networks (PCNs) have been proposed to enable instant and inexpensive payments without requiring expensive and slow blockchain transactions. However, the concept of PCN is still at its nascent stage, and its fundamental understanding is still lacking. The goal of this project is to conduct a comprehensive study of PCNs from optimization, game theoretic, and economic perspectives, by providing an advanced suite of algorithms, theories, and mechanisms for routing, pricing, and network formation in PCNs. This collaborative project with investigators from Colorado School of Mines and Arizona State University is expected to lay the algorithmic, theoretical, and economic foundation in PCNs by studying routing, pricing, and network formation problems from optimization, game theoretic, and economic perspectives. By weaving together techniques from optimization, game theory, and microeconomics, this project will yield several advances: 1) Insightful understanding about PCNs; 2) Realistic models of PCNs considering both balance constraints and expiry constraints; 3) Advanced algorithms for routing a payment in PCNs subject to path-dependent constraints; 4) Rigorous analytical models of balance allocation when multiple payment paths compete for the available balance; 5) Scientific theories about the impact of the participants' strategic behavior on the routing in PCNs and the formation of PCNs; 6) New economic approaches that provide guidelines on how to influence the participants in PCNs to make off-chain payments successful at the minimum cost.This project is expected to have significant impacts in many sectors: 1) Research community: giving rise to new frontiers in PCN research area and break new ground in the understanding PCNs; 2) Economy: expediting the adoption of blockchain-based cryptocurrencies and thus increase the economic competitiveness of the US; 3) Environment: reducing the energy consumption and carbon footprint caused by blockchain technology by encouraging more off-chain transactions; 4) Education: integrating this research into education through curriculum development, student development, K-12 outreach activities, and dissemination of research results; and 5) Society: raising awareness and interests in the blockchain and PCNs through disseminating the research results, partnerships with local companies, community meetups, and public talks.The outcome of this project, including source codes and dataset, will be maintained at the project website (https://people.mines.edu/djyang/research/project-pcn/) for at least five years, and will be made available to the public.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
比特币和以太坊等基于区块链的加密货币的可扩展性阻碍了它们的广泛采用。这是因为它们的底层共识机制需要消耗大量资源来保证唯一和同步的全局状态。为了解决这个可扩展性问题,人们提出了支付通道网络(PCN),以实现即时和廉价的支付,而不需要昂贵和缓慢的区块链交易。然而,PCN的概念仍处于萌芽阶段,对其基本认识仍然缺乏。该项目的目标是从优化,博弈论和经济学的角度对PCN进行全面研究,提供一套先进的算法,理论和机制,用于PCN中的路由,定价和网络形成。这个与科罗拉多矿业学院和亚利桑那州立大学的研究人员合作的项目预计将通过从优化,博弈论和经济学的角度研究路由,定价和网络形成问题,奠定PCN的算法,理论和经济基础。通过将最优化、博弈论和微观经济学的技术交织在一起,本项目将产生几个进展:1)对PCN的深刻理解; 2)考虑余额约束和到期约束的PCN现实模型; 3)路径依赖约束的PCN中路由支付的高级算法; 4)当多个支付路径竞争可用余额时,余额分配的严格分析模型;(5)参与者的策略行为对PCN路由的影响以及PCN的形成的科学理论; 6)新的经济方法,为如何影响多氯化萘参与者以最低成本成功实现链下支付提供指导。该项目预计将在许多领域产生重大影响:1)研究界:在PCN研究领域开辟新的前沿,并在理解PCN方面开辟新的天地; 2)经济:加快采用基于区块链的加密货币,从而提高美国的经济竞争力; 3)环境:通过鼓励更多的链下交易,减少区块链技术造成的能源消耗和碳足迹; 4)教育:通过课程开发,学生发展,K-12外展活动和研究成果的传播,将这项研究融入教育;(5)社会:通过传播研究成果,与当地公司合作,社区聚会和公开讲座,提高对区块链和PCN的认识和兴趣。该项目的成果,包括源代码和数据集,将在项目网站上维护(网址://people.mines.edu/djyang/research/project-pcn/)至少五年,该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响进行评估,被认为值得支持审查标准。

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Counter-Collusion Smart Contracts for Watchtowers in Payment Channel Networks
支付通道网络中瞭望塔的反共谋智能合约
Why Riding the Lightning? Equilibrium Analysis for Payment Hub Pricing
为什么要骑闪电?
Cumulonimbus: An Incentive Mechanism for Crypto Capital Commitment in Payment Channel Networks
积雨云:支付渠道网络中加密资本承诺的激励机制
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Dejun Yang其他文献

FIMI: A Constant Frugal Incentive Mechanism for Time Window Coverage in Mobile Crowdsensing
FIMI:移动人群感知中时间窗覆盖的恒定节俭激励机制
Novel Reconstruction Using Roux-en-Y Plus Antral Obstruction Following Proximal Gastrectomy: Feasibility and Quality of Life Benefits
近端胃切除术后使用 Roux-en-Y 加胃窦梗阻的新型重建:可行性和生活质量益处
  • DOI:
    10.21203/rs.2.11422/v1
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Dejun Yang;Chang;H;Ziran Wei;Xin Zhang;Zunqi Hu;Yu Zhang;Q. Cai
  • 通讯作者:
    Q. Cai
Hiring a Team from Social Network: Incentive Mechanism Design for Two-tiered Social Mobile Crowdsourcing
从社交网络聘请团队:两级社交移动众包的激励机制设计
  • DOI:
    10.1109/tmc.2022.3162108
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    7.9
  • 作者:
    Jia Xu;Zhuangye Luo;Chengcheng Guan;Dejun Yang;Linfeng Liu;Yan Zhang
  • 通讯作者:
    Yan Zhang
Biobjective Robust Incentive Mechanism Design for Mobile Crowdsensing
移动群智感知双目标鲁棒激励机制设计
  • DOI:
    10.1109/jiot.2021.3072953
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    10.6
  • 作者:
    Jia Xu;Yuanhang Zhou;Yuqing Ding;Dejun Yang;Lijie Xu
  • 通讯作者:
    Lijie Xu
Inhibitors of Lrrk2 Kinase Attenuate Neurodegeneration and Parkinson-like Phenotypes in C. Elegans and Drosophila Parkinson's Disease Models
Lrrk2 激酶抑制剂可减轻线虫和果蝇帕金森病模型中的神经变性和帕金森样表型
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhaohui Liu;S. Hamamichi;B. D. Lee;Dejun Yang;Arpita Ray;G. Caldwell;Kim A. Caldwell;T. Dawson;Wanli W. Smith;V. Dawson
  • 通讯作者:
    V. Dawson

Dejun Yang的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Dejun Yang', 18)}}的其他基金

NSF Student Travel Grant for 2018 IEEE International Conference on Computer Communications (INFOCOM)
2018 年 IEEE 国际计算机通信会议 (INFOCOM) NSF 学生旅费补助
  • 批准号:
    1820350
  • 财政年份:
    2018
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
NeTS: Small: Collaborative Research: Enhancing Crowdsourced Spectrum Sensing through Sybil-proof Incentives
NetS:小型:协作研究:通过防女巫激励措施增强众包频谱感知
  • 批准号:
    1717315
  • 财政年份:
    2017
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
EARS: Collaborative Research: Crowdsourcing-Based Spectrum Etiquette Enforcement in Dynamic Spectrum Access
EARS:协作研究:动态频谱访问中基于众包的频谱礼仪执行
  • 批准号:
    1444059
  • 财政年份:
    2015
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
NeTS: Small: Collaborative Research: Unleashing Spectrum Effectively and Willingly: Optimization and Incentives
NeTS:小型:协作研究:有效且自愿地释放频谱:优化和激励
  • 批准号:
    1420881
  • 财政年份:
    2014
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant

相似国自然基金

Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 批准年份:
    2024
  • 资助金额:
    0.0 万元
  • 项目类别:
    省市级项目
Cell Research
  • 批准号:
    31224802
  • 批准年份:
    2012
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research
  • 批准号:
    31024804
  • 批准年份:
    2010
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Cell Research (细胞研究)
  • 批准号:
    30824808
  • 批准年份:
    2008
  • 资助金额:
    24.0 万元
  • 项目类别:
    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
  • 批准年份:
    2007
  • 资助金额:
    45.0 万元
  • 项目类别:
    面上项目

相似海外基金

Collaborative Research: CNS Core: Medium: Reconfigurable Kernel Datapaths with Adaptive Optimizations
协作研究:CNS 核心:中:具有自适应优化的可重构内核数据路径
  • 批准号:
    2345339
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: A Compilation System for Mapping Deep Learning Models to Tensorized Instructions (DELITE)
合作研究:CNS Core:Small:将深度学习模型映射到张量化指令的编译系统(DELITE)
  • 批准号:
    2230945
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
Collaborative Research: NSF-AoF: CNS Core: Small: Towards Scalable and Al-based Solutions for Beyond-5G Radio Access Networks
合作研究:NSF-AoF:CNS 核心:小型:面向超 5G 无线接入网络的可扩展和基于人工智能的解决方案
  • 批准号:
    2225578
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: Movement of Computation and Data in Splitkernel-disaggregated, Data-intensive Systems
合作研究:CNS 核心:媒介:Splitkernel 分解的数据密集型系统中的计算和数据移动
  • 批准号:
    2406598
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Continuing Grant
Collaborative Research: CNS Core: Small: SmartSight: an AI-Based Computing Platform to Assist Blind and Visually Impaired People
合作研究:中枢神经系统核心:小型:SmartSight:基于人工智能的计算平台,帮助盲人和视障人士
  • 批准号:
    2418188
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Creating An Extensible Internet Through Interposition
合作研究:CNS核心:小:通过介入创建可扩展的互联网
  • 批准号:
    2242503
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Adaptive Smart Surfaces for Wireless Channel Morphing to Enable Full Multiplexing and Multi-user Gains
合作研究:CNS 核心:小型:用于无线信道变形的自适应智能表面,以实现完全复用和多用户增益
  • 批准号:
    2343959
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: Efficient Ways to Enlarge Practical DNA Storage Capacity by Integrating Bio-Computer Technologies
合作研究:中枢神经系统核心:小型:通过集成生物计算机技术扩大实用 DNA 存储容量的有效方法
  • 批准号:
    2343863
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Small: A Compilation System for Mapping Deep Learning Models to Tensorized Instructions (DELITE)
合作研究:CNS Core:Small:将深度学习模型映射到张量化指令的编译系统(DELITE)
  • 批准号:
    2341378
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: Innovating Volumetric Video Streaming with Motion Forecasting, Intelligent Upsampling, and QoE Modeling
合作研究:CNS 核心:中:通过运动预测、智能上采样和 QoE 建模创新体积视频流
  • 批准号:
    2409008
  • 财政年份:
    2023
  • 资助金额:
    $ 25.2万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了