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
- 来源:
- 关键词:
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.
基于区块链的加密货币(例如比特币和以太坊)的可扩展性阻碍了它们的广泛采用。这是由于其基本共识机制所需的大量资源消耗以保证独特而同步的全球状态。为了解决此可伸缩性问题,已经提出了支付渠道网络(PCN)来实现即时且廉价的付款,而无需昂贵且缓慢的区块链交易。但是,PCN的概念仍处于其新生阶段,并且仍然缺乏其基本理解。该项目的目的是通过在PCN中提供一系列先进的算法,理论和机制,从优化,游戏理论和经济观点对PCN进行全面研究。这项与科罗拉多州矿业学院和亚利桑那州立大学的调查人员的合作项目有望通过研究路线,定价和网络形成问题,从优化,游戏理论和经济角度研究算法,理论和经济基础。通过从优化,游戏理论和微观经济学中编织技术,该项目将产生几个进步:1)对PCN的有见地的理解; 2)PCN的现实模型考虑平衡约束和到期约束; 3)用于路由在PCN中付款的高级算法受到路径依赖性约束; 4)当多个支付路径竞争可用余额时,平衡分配的严格分析模型; 5)关于参与者的战略行为对PCN和PCN形成的路线的影响的科学理论; 6)新的经济方法提供了有关如何影响PCN参与者以使链付款成功以最低成本成功的指导方针。预计该项目将对许多领域产生重大影响:1)研究社区:PCN研究领域的新领域并在理解PCN中引起新的领域; 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:通过鼓励更多的链交易来减少由区块链技术引起的能耗和碳足迹; 4)教育:通过课程发展,学生发展,K-12外展活动以及研究结果的传播将这项研究纳入教育; 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向公众致意。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来评估值得支持的。
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
- DOI:10.1109/infocom42981.2021.9488831
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Zhang, Yuhui;Yang, Dejun;Xue, Guoliang;Yu, Ruozhou
- 通讯作者:Yu, Ruozhou
Why Riding the Lightning? Equilibrium Analysis for Payment Hub Pricing
为什么要骑闪电?
- DOI:10.1109/icc45855.2022.9839171
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Wang, Xiaojian;Gu, Huayue;Li, Zhouyu;Zhou, Fangtong;Yu, Ruozhou;Yang, Dejun
- 通讯作者:Yang, Dejun
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
- DOI:10.1109/icc45855.2022.9838590
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Zhang, Yuhui;Yang, Dejun;Xue, Guoliang
- 通讯作者:Xue, Guoliang
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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
- DOI:
10.1007/s11390-017-1773-4 - 发表时间:
2017-09 - 期刊:
- 影响因子:0.7
- 作者:
Jia Xu;Jianren Fu;Dejun Yang;Lijie Xu;Lei Wang;Tao Li - 通讯作者:
Tao Li
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
Joint Base Station Placement and Fault-Tolerant Routing in Wireless Sensor Networks
无线传感器网络中的联合基站布局和容错路由
- DOI:
10.1109/glocom.2009.5425292 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
Dejun Yang;S. Misra;G. Xue - 通讯作者:
G. Xue
Enabling Data Trustworthiness and User Privacy in Mobile Crowdsensing
在移动群智感知中实现数据可信度和用户隐私
- DOI:
10.1109/tnet.2019.2944984 - 发表时间:
2019-10 - 期刊:
- 影响因子:3.7
- 作者:
Haiqin Wu;Liangmin Wang;Guoliang Xue;Jian Tang;Dejun Yang - 通讯作者:
Dejun Yang
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
Dejun Yang的其他文献
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{{ 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
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