基于关联度分析的WSN节点信任模型研究
Research on Trust Model Based on Social Network Correlation Degree Analysis in Wireless Sensor Networks
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摘要: 该文基于社会网络关联度分析的无线传感网络节点信任模型进行研究。给出了无线传感器网络的模型并将其与社会网络模型进行了相似性分析;建立了基于社会网络关联度的WSN节点信任模型,提出了基于关联度的传感器节点信誉度的计算方法;并设计了基于滑动窗口的传感器节点信任值计算及更新算法(SNTUA)。通过仿真实验,证明了该算法的有效性和准确性,其性能优越于其他两种算法。Abstract: Based on the similarity comparison of WSN model and social network model, this paper proposes a trust model based on social network correlation degree in wireless sensor networks (WSN). The computing method of WSN node credit with network correlation degree is built. The sensor node trust update algorithm (SNTUA) is designed based on sliding windows. Simulation experiments prove that SNTUA is better than other two algorithms and the correctness and effectiveness of SNTUA is testified.