中文摘要：

社会关系量化是物联网移动感知服务的基础,涉及时间、空间和行为等多种决策因子,对此借助社会网络理论,提出一种面向物联网移动感知的节点社会关系认知模型：（1）从多个角度推理和评估社会关系的复杂性和不确定性,分析物联网移动感知中节点社会关系的时空特性;（2）综合考虑影响社会关系的多种要素,引入位置因子、交互因子、服务质量因子和反馈聚合因子对移动节点社会关系进行合理量化,克服已有量化模型中决策因子单一、计算结果具有较大局限性的缺点;（3）通过信息熵和粗糙集理论确立各个决策因子的权重分配,克服已有权重分配中存在的主观性、动态适应性差的问题.模拟实验结果表明,与已有方法相比,该认知模型具有更好的动态适应性和预测准确性.

英文摘要：

In the Internet of Things, the quantification of social relations is the basis of mobileaware service, which involves many decision factors, such as time, space and behavior. Based on social network theory, a new cognitive model for mobile nodes social relation in the Internet of Things is proposed. Firstly, by reasoning and evaluating the complexity and uncertainty of social relation from various angles, the social characteristics of mobile nodes are summarized. Then, we would quantize the social relations of mobile nodes using location factor, interconneetion factor, service quality factor and feedback aggregation factor, so as to solve the shortcomings in these quantitative models which are caused by the single decision factors and the limitation of the calculated results. Finally, the weight distribution is set up by information entropy and rough set theory for these decision factors, which overcomes the shortage of traditional method, in which the weight is set up by subjective manners and has poor dynamic adaptability. Simulation results show that, cognitive model has better predictive accuracy and dynamic adaptability.