云信任驱动的物联网信息资源寻址模型

为提高物联网底层信息资源寻址效果,基于对云环境下的物联网底层寻址服务的信任度评估准则等方面的研究,改进信任驱动算法,提出一个云信任驱动的物联网信息资源寻址模型。首先,分析寻址的关键特征;然后,设计并采用特定约束条件、信任陡度函数、云信任度评估准则及信任约束系数建立寻址模型;最后,设计了一个物联网系统实例来验证该模型的有效性。实验结果表明,相比传统模型或算法,该模型有良好的底层资源寻址效果。

Information resource addressing model based on trust-driven cloud for Internet of things

To improve bottom-layered information resource addressing efficiency for Internet of Things (IoT), with researching trust evaluation criteria on bottom-layered addressing services for IoT in cloud, and improving trust-driven algorithms, an information resource addressing model based on trust-driven cloud for IoT was presented. First the key addressing features were analyzed, then the addressing model was constructed by designing and using specific constraint conditions, trust steepness function, cloud trust evaluation criteria and trust constraint coefficients. Finally, the model was validated by an IoT system designing instance. The experimental results show the proposed model has satisfactory bottom-layered resource addressing efficiency in comparison with traditional models or algorithms.