无线传感器网络多层次模糊信任模型研究

Research on multi-level fuzzy trust model for wireless sensor networks

为解决无线传感器网络中的恶意节点的识别问题,提出一种多层次模糊信任模型。新模型充分考虑影响节点信任度量的多种要素,建立梯阶层次结构;采用层次分析法构造各层次判断矩阵,分别计算各层信任要素的权重;利用模糊推理方法对各信任要素子集进行一级模糊综合评判,并对一级评判结果进行二级模糊综合评判,得到节点的综合信任值;根据节点的综合信任值检测出网络中的恶意节点。实验和仿真结果表明,在网络规模和恶意节点比例变化时,该模型恶意节点检测率均可达到75%以上。

A trust model based on multi-level fuzzy system is put forward to identify malicious nodes in wireless sensor networks （WSNs）. The new model fully considers the multiple factors influencing the trust evaluation, and a hierarchy ladder structure is established. The analytical hierarchy process （AHP） method is used to construct the judgment matrixes of various hierarchies and calculate the weights of the trust factors in various hierarchies. The fuzzy reasoning method is used to carry out the single-level fuzzy comprehensive evaluation for various trust factor subsets; then a high-level fuzzy comprehensive evaluation is conducted on the previous evaluation result, and the node comprehensive trust values are obtained. According to the node comprehensive trust values, the malicious nodes in the network could be detected. Experiment and simulation results show that the detection rate of the malicious nodes for the proposed model can reach above 75% when the network size and the percentage of the malicious nodes change.