Control Strategy of Group Behavior for Internet of Things

With the development of the information techniques, Internet of Things has caused extensive concern. The burden of Internet of Things increases as the number of users rises. In order to ease the burden on Internet of Things and improve efficiency of user accessing the Internet of Things, this paper proposed a control strategy of group behavior. We count resources user interested in, and do cluster analysis with these resources. Through cluster analysis these users are divided into different groups, and the users in which have the similar interests called group interests. According to behavior characteristics of different groups, the resources which are group interests are stored in the buffer. On this basis, a control strategy of group behavior is described, and its performance is evaluated.