稀疏无线传感器网络中基于beta分布的信任模型

Trust model based on beta distribution for sparse wireless sensor networks

针对无线传感器网络节点随机部署的不均匀性、节点能量消耗的非均衡性以及节点容易被俘获窜改的妥协性等,提出一个基于beta分布的稀疏网络信任模型。该模型充分考虑了稀疏网络的自身特点,利用beta密度函数构建节点的信任值并进行实时更新。模拟实验与分析表明:该模型能有效剔除节点发送的虚假数据和准确识别出失效节点,优化网络性能,为拓扑控制算法、数据收集压缩算法等提供一个可信的支撑环境。

Considering the wireless sensor network isn＇ t uniformly distributed, and energy consumption for each node can＇ t be balanced, even some nodes are captured or compromise to send forged data and so on, this paper proposed a trust model for sparse network based on beta distribution. After the characteristic of the sparse network had been fully taken into account, then each node＇ s trust value could be easily computed and updated in Cycle by the beta density function. Simulation results and analysis show that this trust model can eliminate the false data which is sent by malicious nodes effectively and identify failure nodes accurately, thereby optimizes the performance, provides a credible supporting environment for topology algorithm, data compression algorithm etc.