Social relation cognitive model of mobile nodes in the internet of things

In the Internet of Things, the quantification of social relations is the basis of mobile-aware 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, interconnection 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.