非结构化P2P网络引导型进化博弈算法

doi:10.11959/j.issn.1000-0801.2016009

Abstract

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.

Key words: peer-to-peer network, pacesetter node, topology reconstruction, guided, P2P

Guohui ZHU,Chunlan LU,Rui ZHANG. Guided evolutionary game algorithm of unstructured P2P network[J]. Telecommunications Science, 2016, 32(1): 60-65.

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References 13

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peer1/peer2	合作	不合作
合作	（R,R）	（S,T）
不合作	（T,S）	（P,P）

算法	主动学习过程	拓扑重构过程	复位过程	两个节点收益相等
SLACER	i连接到j的L_neighbors	i连接N_rand	设置i收益为0	随机选择一个节点
G-SLACER	根据收益差i连接到j的L_neighbors	i连接N_rand和N_max	设置i收益为V_j	S_i、S_j均为合作策略，随机选择一个节点

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Guided evolutionary game algorithm of unstructured P2P network

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