基于分簇的无线传感器网络中信任节点的研究

Study on trust node in clustering-based wireless sensor networks

对节点的信任值进行研究,来判断节点是否值得信赖。对节点的信任要素进行分析,重点介绍分簇的无线传感器网络(WSNs)中信任的计算模型。在该模型中,综合直接信任和信誉给出信任度的计算方法。直接信任度采用基于贝叶斯评估方法,在推荐信任度的基础上描述信誉。仿真结果表明:在识别恶意节点和簇头选举时显示出该模型的优越性。

By studing on trust value, node is determined whether it is worth trusted. The trust elements of the node is analyzed, trusted computing model focuses on clustering in wireless sensor networks is focused on. In the model, the calculation method of credibility is given by integrated direct confidence and trust. Direct trust assessment based on Bayesian methods, the credibility is described at the foundation of Recommend trust . The simulation results show that while identifing malicious nodes, the superiority of the model is showed at the same time.