Abstract — In order to thoroughly simulate the MANET, the movements of the mobile nodes should be predicted more close to real world movements. Since the limitation of real traces in the public domain, synthetic based mobility models are widely used in MANET mobility management and the most widely used models are very simplistic. Movement of mobile nodes are strongly affected by the need of humans to socialize or cooperate because most of the nodes are directly or indirectly handled by human beings so the mobility model based on social network theory predicts the node movements more realistic. Major challenges of these models are identifying the community and predicting the behavior of each node and each community. Our mobility model overcomes these challenges by using Unified Relationship Matrix concept, which helps to represent the relationships of inter and intra type of mobile nodes among the various community groups with in the given terrain. This paper gives the details of implementation and evaluates the important properties of the generated networks
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.