移动自组网的一种信任评估模型

针对现有信任模型的缺点和信任本身的模糊性和主观性，提出了一个基于灰色理论和神经网络的信任模型。在模型实施中使用灰色关联方法进行关键因素筛选，减小了计算量，有效地延长了移动自组网的使用寿命。利用神经网络进行信任评估，综合考虑节点本身的全局信任值，提高了信任模型的可行性和客观性，并有助于节点的行为选择。

A Trust Evaluation Model of MANET

For the shortcomings of the existing trust models, and the ambiguity and subjectivity of trust itself, a trust model based on gray theory and neural network is proposed. In implementing the model, the key factors are selected by using grey relation method, which reduces the amount of computation and effectively prolongs the service life of Mobile Ad hoc Network （MANET）. By using the neural network to conduct trust evaluation and comprehensively consider the global trust value of node itself, the feasibility and objectivity of the trust model are improved, and it contributes to the behavior select of the node.