基于Reputation与Credit的混合激励算法

Reputation and credit based hybrid incentive algorithm in opportunistic networks

针对Reputation机制中缺乏对高信誉值节点的奖励,以及Credit机制中静止的虚拟银行(VB:Virtual Bank)部署困难,同时交易价格无区分性等导致的激励效果不佳的问题,文中提出了一种新的基于Reputation和Credit的混合激励算法RCH(Reputation and Credit based Hybrid incentive algorism)。RCH主要是采取一种P2P的模式(无需VB),根据提供转发服务节点与消息目的节点的亲密度以及接受转发服务节点的自私度来完成对不同服务质量,不同服务对象的区别定价,从而鼓励理性地自私节点更多的去帮助其他节点转发消息。通过理论分析和仿真实验得出:该算法与Reputation机制和Credit机制相比,在激励效果方面得到了较大的改善,最终都体现在交付率,平均延迟等指标的优化上。

In terms of the following questions： the lack of encouraging nodes with the high reputation value in Reputation,the virtual bank＇s（ VB） deploying difficultly and the uniform transaction price in Credit,the paper proposes a novel solution： Reputation and Credit based hybrid incentive algorism（ RCH）. According to the selfish ratio and the link ratio,the different bids of different services and objects are set in RCH which exploits the P2 P mode（ without VB）. The theoretical analysis and simulation results show： compared with Reputation system and Credit system,the performance about delivery rate,latency,etc. is improved. So a better incentive effect is shown.