非结构化P2P网络引导型进化博弈算法

朱国晖; 鲁春兰; 张瑞

doi:10.11959/j.issn.1000-0801.2016009

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非结构化P2P网络引导型进化博弈算法

研究与开发 | 更新时间：2024-06-05

- 非结构化P2P网络引导型进化博弈算法
- Guided evolutionary game algorithm of unstructured P2P network
- 电信科学 2016年32卷第1期页码：60-65
- 作者机构：
- 作者简介：
  
  [ "朱国晖（1969-），男，西安邮电大学副教授、硕士生导师，主要研究方向为对等网络、移动互联网、复杂网络路由算法等。" ]
  [ "鲁春兰（1989-），女，西安邮电大学硕士生，主要研究方向为对等网络、复杂网络路由算法。" ]
  [ "张瑞（1990-），男，西安邮电大学硕士生，主要研究方向为对等网络路由算法。" ]
- 基金信息：
  
  陕西省教育厅科技计划基金资助项目;Education Department Foundation of Shaanxi Province(07JK377)
- DOI：10.11959/j.issn.1000-0801.2016009
  中图分类号： TP393
- 网络出版日期：2016-01，
  
  纸质出版日期：2016-01-20
- 稿件说明：
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朱国晖, 鲁春兰, 张瑞. 非结构化P2P网络引导型进化博弈算法[J]. 电信科学, 2016,32(1):60-65.

Guohui ZHU, Chunlan LU, Rui ZHANG. Guided evolutionary game algorithm of unstructured P2P network[J]. Telecommunications science, 2016, 32(1): 60-65.
朱国晖, 鲁春兰, 张瑞. 非结构化P2P网络引导型进化博弈算法[J]. 电信科学, 2016,32(1):60-65. DOI： 10.11959/j.issn.1000-0801.2016009.

Guohui ZHU, Chunlan LU, Rui ZHANG. Guided evolutionary game algorithm of unstructured P2P network[J]. Telecommunications science, 2016, 32(1): 60-65. DOI： 10.11959/j.issn.1000-0801.2016009.

摘要

为促进动态开放性对等网络中节点间的合作，在 SLACER（selfish link-based adaptation for cooperation excluding rewiring，基于自私连接排除重构的自适应合作）算法的基础上引入标兵节点，提出了引导型进化博弈算法G-SLACER（guided-SLACER）。通过初始化，网络节点总数的30%为标兵节点；拓扑重构过程中，新增一条到最具优势节点的引导型连接；为鼓励节点相互学习，加大网络整体收益。实验结果表明，G-SLACER算法针对不同规模的网络均具有良好的通用性，网络中CCP（cooperative connected path，合作连接路径）的稳定性增强。与其他进化博弈算法相比，G-SLACER算法形成的P2P网络的合作状态出现得更早、更平稳。

Abstract

In order to promote the cooperation among the nodes which exist in dynamic and open peer-to-peer network

G-SLACER algorithm was provided by introducing pacesetter nodes.30% of network nodes were initialized to pacesetter nodes.In the process of topology reconstruction

a guided link to the most advantage node was added.To encourage studies between nodes

the payoff of the whole network was increased.The experimental results show that the G-SLACER algorithm has good generality for different sizes of networks

and it enhances the stability of CCP.Compared with other evolutionary game algorithms

cooperation state of P2P network formed by G-SLACER algorithm appears earlier and more stable.

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references

张春红，裘晓峰，弭伟，等 . P2P技术全面解析 [M ] . 北京：人民邮电出版社， 2010 : 101 - 135 .

Zhang C H , QIU X F , MI W , et al . Comprehensive Analysis of P2P Technology [M ] . Beijing : Posts&Telecom Press , 2010 : 101 - 135 .

管磊 . P2P技术揭秘 [M ] . 北京：清华大学出社， 2011 : 108 - 136 .

GUAN L . Reveal of P2P Technology [M ] . Beijing : Tsinghua University Press , 2011 : 108 - 136 .

MARCOZZI A , HALES D , JESI G P , et al . Tag-based cooperation in peer-to-peer networks with newscast:technical Report UBLCS-2005-15:2015 [S/OL ] .[ 2015 - 11 - 20 ] . http://www.docin.com/p-875589728.html http://www.docin.com/p-875589728.html .

HALES D , ARTECONI S . Friends for free:self-organizing artificial social networks for trust and cooperation:technical Report UBLCS-2005-20:2005 [S/OL ] .[ 2015 - 11 - 20 ] . http://www.docin.com/p-972645743.html http://www.docin.com/p-972645743.html .

HALES D , ARTECONI S . SLACER:a self-organizing protocol for coordination in peer-to-peer networks [J ] . IEEE Intelligent Systems , 2006 , 21 （ 2 ）: 29 - 35 .

孟宪福，王动 . 基于重复博弈和惩戒机制的P2P协作激励信誉模型 [J ] . 计算机辅助设计与图形学学报， 2010 , 22 （ 5 ）: 886 - 893 .

MENG X F , WANG D . Collaboration incenting reputation model based on repeated game theory and punishment mechanism in P2P networks [J ] . Journal of Computer-Aided Design & Computer Graphics , 2010 , 22 （ 5 ）: 886 - 893 .

MATSUDA Y , SASABE M , TAKINE T . Evolutionary game theory-based evaluation of P2P file-sharing systems in heterogeneous environments [J ] . International Journal of Digital Multimedia Broadcasting , 2010 （ 1 ）: 1 - 13 .

SASABE M , WAKAMIYA N , MURATA M . User selfishness vs file availability in P2P file-sharing systems:evolutionary game theoretic approach [J ] . Peer-to-Peer Networking and Applications , 2010 , 3 （ 1 ）: 17 - 26 .

姚霖 . 基于博弈论的对等网络节点自私性研究 [D ] . 济南：山东大学， 2012 : 22 - 32 .

YAO L . The study on selfishness of nodes in P2P networks based on game theory [D ] . Jinan : Shandong University , 2012 : 22 - 32 .

王杨，王汝传，徐小龙，等 . 资源共享P2P 网络的进化博弈激励模型 [J ] . 计算机工程， 2011 , 37 （ 11 ）: 19 - 21 .

WANG Y , WANG R C , XU X L , et al . Evolutionary game incentive model for resource sharing P2P network [J ] . Computer Engineering , 2011 , 37 （ 11 ）: 19 - 21 .

PeerSim中文教程 [EB/OL ] .[ 2015 - 11 - 20 ] . http://wenku.baidu.com/view/83b35f104431b90d6c85c7ae.html http://wenku.baidu.com/view/83b35f104431b90d6c85c7ae.html .

PeerSim Chinese course [EB/OL ] .[ 2015 - 11 - 20 ] . http://wenku.baidu.com/view/83b35f104431b90d6c85c7ae.html http://wenku.baidu.com/view/83b35f104431b90d6c85c7ae.html .

PeerSim overview [EB/OL ] .[ 2015 - 11 - 20 ] . http://peersim.sourceforge.net/doc/index.html http://peersim.sourceforge.net/doc/index.html .

JESI G P . PeerSim HOWTO:build a new protocol for the PeerSim 1.0 simulator [EB/OL ] .[ 2015 - 11 - 20 ] . http://peersim.sourceforge.net/tutorial1/tutorial1.html http://peersim.sourceforge.net/tutorial1/tutorial1.html .

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