SaMob: A Social Attributes Based Mobility Model for Ad Hoc Networks

An accurate and realistic mobility model is crucial to obtain the precise and meaningful simulation results. Today, most mobility models for Ad Hoc network only consider limited movement parameters, while little or no attention is paid to user´s social network. We note that the node movement is affected by the needs of human social interaction. Meanwhile, social network-related study shows that there is some kind of relationship between human social interaction and social attributes. In this paper, we study the internal relation between the relative movement of mobile users and the user´s social attributes. Hence, we present SaMob, an executable mobility model based on social attributes. By quantizing the user´s social attributes, SaMob creates the Attractor Matrix S describing the relationship of human relative movements easily, as a guide to model users´ mobility for Ad Hoc Network. SaMob abstracts users mobility accurately and efficiently and characterizes users´ main relative movement effectively.