移动对等网络中讨价还价动态博弈的激励策略

发布时间：2018-06-19 17:09

  本文选题：移动对等网络 + 自私性　； 参考：《计算机科学与探索》2017年08期

【摘要】：内容由于移动对等网络的自组织、开放性以及节点资源受限等特点,一些节点表现出其自私性或恶意性。针对该问题,给出了一种基于讨价还价动态博弈的节点激励策略DGBIS(incentive strategy based on dynamic game of bargaining in mobile P2P network)。该激励策略采用虚拟货币的支付方式,节点先根据其拥有的虚拟货币量、自身资源状态和消息属性对每次消息转发进行估价,然后交易双方基于估价通过三次讨价还价动态博弈以合理的报价进行交易。通过博弈分析给出了DGBIS策略的纳什均衡解,使理性的自私节点为最大化其自身利益而积极参与消息转发合作,同时能抑制恶意节点的虚假报价。分析与实验结果表明,该激励策略能提高整个系统的消息转发成功率,降低系统的能量消耗,达到了预期的设计目标。
[Abstract]:Some nodes show selfishness or malice due to the characteristics of self-organization, openness and resource limitation of mobile peer-to-peer networks. In order to solve this problem, a node incentive strategy based on bargaining dynamic game (DGBISincentive strategy based on dynamic game of bargaining in mobile P2P network) is presented. The incentive strategy adopts the payment method of virtual currency. The node evaluates each message forwarding according to the amount of virtual currency, the status of its own resources and message attributes. Then the two parties trade on the basis of valuation through three bargaining dynamic games. The Nash equilibrium solution of the DGBIS strategy is given by game analysis, which makes the rational selfish node participate in the message forwarding cooperation in order to maximize its own interests, and at the same time it can restrain the false quotation of the malicious node. The analysis and experimental results show that the strategy can improve the success rate of message forwarding, reduce the energy consumption of the system and achieve the desired design goal.
【作者单位】： 湖南人文科技学院信息学院;中南大学信息科学与工程学院;湖南师范大学物理与信息科学学院;
【基金】：国家自然科学基金Nos.61572191,61571188 湖南省自然科学基金No.2017JJ2124 湖南省计算机应用技术重点建设学科资助项目~~
【分类号】：TP393.02
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本文编号：2040622