基于演化博弈论的WSNs 信任决策模型与动力学分析
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沈士根

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TP393

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分组密码的故障分析研究


Evolutionary game theory based trust strategy model and dynamics
analysis in wireless sensor networks
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    摘要:

    针对无线传感器网络(WSNs) 节点间信任关系建立时的信任决策和动态演化问题, 引入与节点信任度绑定
    的激励机制, 建立WSNs 节点信任博弈模型以反映信任建立过程中表现出的有限理性和每次博弈过程的收益. 基于
    演化博弈论研究节点信任策略选择的演化过程, 给出WSNs 节点信任演化的复制动态方程, 提出并证明在不同参数
    条件下达到演化稳定策略的定理, 为WSNs 信任机制设计提供了理论基础. 实验表明了定理结论和激励机制的效果.

    Abstract:

    In order to solve the problems of trust deciding and its dynamics evolving which will be faced during the process
    of creating trust relations between sensor nodes in wireless sensor networks(WSNs), an incentive mechanism bound by
    trust level is introduced, and the model of WSNs trust game is created for reflecting the limited nationality and utilities of
    each game stage. Based on evolutionary game theory, the evolutionary process of selecting trust strategy of sensor nodes is
    researched. The replicator dynamics of trust evolving in WSNs is given. The theorems in which evolutionary stable strategy
    under different parameter values can be satisfied are proposed and proved, which can provide theoretical foundations for
    designing a WSNs trust mechanism. The experiments show the conclusions attained from proposed theorems and the effect
    of the incentive mechanism.

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沈士根 马绚 蒋华 李玮 曹奇英.基于演化博弈论的WSNs 信任决策模型与动力学分析[J].控制与决策,2012,27(8):1133-1138

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历史
  • 收稿日期:2011-02-11
  • 最后修改日期:2011-07-01
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  • 在线发布日期: 2012-08-20
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