基于雾计算模式的传感云可信数据收集技术

Sensor-Cloud system, which is a combination of both cloud computing and WSNs, has become the research focus. Trustworthy data collection is crucial for Sensor-Cloud system, since it is relevant to upper-layer data protections and applications. However, for one thing, the ability of underlying sensor networks is too weak to afford both computation and storage abilities. For another, cloud computing cannot manage the underlying physical sensors and data directly. Thus the current methods cannot collect data efficiently and trustworthily. In this proposal, we plan to exploit the advantages of fog computing and use some super nodes to form the fog layer and take full advantages of their computation, storage and mobility abilities. We will focus on: 1) Designing fine-grained direct trust evaluation method to distinguish trustworthy sensors; 2) Designing the mobile data collection method, which is based on “trust virtual force”; 3) Designing the outlier detection based data selection method, to extract trustworthy data; 4) Designing the Hash-Solomon coding method to store the data trustworthily. This research will promote the merge and applications of both wireless sensor networks and cloud computing，which is not only a complement and improvement for Sensor-Cloud theory, but also a practice and verification for fog computing model.

云计算技术与无线传感器网络结合所产生的传感云（Sensor-Cloud）系统已经逐渐成为研究的热点。其中，可信数据的收集至关重要，直接关系到传感云的上层数据保护和应用。然而,底层无线传感器网络的能力太弱，加之云计算模式缺乏对底层传感器节点和数据的直接管理，导致已有方案难以可信地评估和收集数据。本项目拟引入雾计算模式，将传感网中功能较强的节点组成雾节点层，充分发挥其计算、存储和移动能力。主要研究：1）设计基于细粒度的强直接信任评估方法，实现对可信传感节点的甄别；2）设计基于可信度虚拟力的移动式数据收集方法，实现对可信数据的收集；3）设计基于离群点检测的可信数据筛选方法，实现对可信数据的提取；4）设计基于Hash-Solomon编码的三级可信存储方法，实现对数据的可信存储。研究成果将推动传感器网络和云计算的融合和应用，既是对传感云理论的重要补充和改进，也是对雾计算这一新型计算模式的探索和实践。

云计算技术与无线传感器网络结合所产生的传感云（Sensor-Cloud）系统已经逐渐成为研究的热点。其中，可信数据的收集至关重要，直接关系到传感云的上层数据保护和应用。然而,底层无线传感器网络的能力太弱，加之云计算模式缺乏对底层传感器节点和数据的直接管理，导致已有方案难以可信地评估和收集数据。本项目引入雾计算模式，将传感网中功能较强的节点组成雾节点层，充分发挥其计算、存储和移动能力。主要研究：1）设计基于细粒度的强直接信任评估方法，实现了对可信传感节点的甄别；2）设计基于可信度虚拟力的移动式数据收集方法，实现了对可信数据的收集；3）设计基于离群点检测的可信数据筛选方法，实现了对可信数据的提取；4）设计基于Hash-Solomon编码的三级可信存储方法，实现了对数据的可信存储。研究成果将推动传感器网络和云计算的融合和应用，既是对传感云理论的重要补充和改进，也是对雾计算这一新型计算模式的探索和实践。