采用信任度量的MANET网络分簇模型

为了解决信任模型的分层结构与物理分簇结构分离造成的移动自组网稳定性差、网络可生存时间短的问题，提出基于信任度量的网络分簇模型.在研究直觉模糊集距离测度的基础上，提出了在直觉模糊集理论下的信任度量方法.通过对簇结构的稳定性及能量消耗进行分析，以对HELLO消息进行扩展的形式，提出了基于信任度的簇结构生成算法.仿真实验结果表明，该模型在簇首变化率、簇成员能量消耗与移动自组网络可生存时间方面具有一定的优势.

A MANET Clustering Model Based on Trust Measurement

In order to solve the poor network stability problem and the short survival issue which is caused by the separation between trust layered structure and physical clustered structure, a mobile Ad hoc networks (MANET) clustering model which based on trust measurement was proposed. The distance measurement of intuitionistic fuzzy sets were researched, and a trust measurement which using intuitionistic fuzzy set theory was proposed. A clustering algorithm based on trust measurement was proposed via analyzing the stability and energy dissipation of the clustered structure in extending HELLO message form. The simulation results show that the proposed model has an advantage in head nodes changing rate, the clustered structure member energy dissipation, as well as, MANET survival time.