论文部分内容阅读
认知中继网络通过引入中继传输,可以有效改善网络通信的性能.为了提高认知中继网络系统的自适应性,改善网络通信的整体质量,抑制网络节点的自私行为,结合演化博弈理论提出一种基于Moran过程的认知中继网络信任演化模型.首先建立认知中继网络信任演化基本框架,设计基于区分贡献度的实体全局收益函数,为信任演化模型的建立提供基础,以增强信任演化模型的自适应性;然后提出一种Moran多策略信任演化模型,激励信任策略的演化,以增强对信任演化预测的准确性.实验结果表明,该模型能够准确地反映认知中继网络中节点信任行为的特点,推动网络节点行为向协同合作策略的演化,使节点实体的信任演化快速收敛到稳定状态,以此提高网络系统的可信度.
Cognitive relay network can effectively improve the performance of network communication by introducing relay transmission.In order to improve the adaptability of cognitive relay network system, improve the overall quality of network communication and restrain the selfish behavior of network nodes, combined with evolutionary game theory This paper proposes a Moran trust model based on Moran process.Firstly, the basic framework of trust evolution of cognitive relay network is established, and the global profit function of entity based on the contribution degree is designed, which provides the foundation for the establishment of trust evolution model, And then proposes a Moran multi-strategy trust evolution model to stimulate the evolution of trust strategy to enhance the accuracy of the trust evolution prediction.The experimental results show that the model can accurately reflect the cognitive relay network Which can promote the evolution of network node behavior to cooperative cooperation strategy and make the trust evolution of node entities quickly converge to a steady state so as to improve the credibility of network system.