一种基于Ad Hoc网络的信任评估分簇算法

A novel trust evaluation-based clustering algorithm for Ad Hoc network

提出了一种新的信任评估分簇算法(TECA)。该算法能根据有限的局部信息自动地对整个网络进行分割,从而实现对信任关系的有效管理。实验与结果分析表明:TECA算法提供了一种有效的信任评估机制,在成簇通信代价、维护开销等性能方面与现有的典型传统分簇方法相近,而在安全性上有明显的提升。

A trust evaluation-based clustering algorithm was presented based on clustering structure. This algorithm can automatically partition whole network according to limited local information so as to manage trust relationship effectively. Experiments and results analysis showed that TECA algorithm provides an effective trust evaluation mechanism and it is similar with traditional clustering algorithms in clustering communication cost, maintenance cost and other performances, while its security is obviously improved.