基于演化博弈的传感节点保密率自适应调节方法

Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game

通过扩展经典窃听信道模型,针对聚簇无线传感器网络提出了传感节点和簇头之间的保密率计算方法,构建了一个非合作保密率博弈模型,以反映传感节点之间的交互关系。利用演化博弈思想,建立了传感节点自适应选择发射功率的机制,提出了传感节点自适应调节保密率的算法。实验结果表明,提出的方法能自适应地调节传感节点的保密率,为保证无线传感器网络数据的保密性提供了新途径。

By developing the classical wire-tap channel, an approach was proposed to compute the secrecy rate between a sensor node and its responsible cluster head in the clustered wireless sensor network. A non-cooperative secrecy rate game model was formulated to reflect on the interaction relationship between sensor nodes. Using evolutionary game theory, a selection scheme in which a power level can be adaptively selected by a sensor node was developed. Moreover, a corresponding algorithm of secrecy rate adaptation was proposed. Numerical experiments show that the proposed algorithm adaptively adjusts the secrecy rate of the sensor node. Therefore, a novel method to guarantee the confidentiality of wireless sensor network data was orovided.