Improving the community behaviour of social network theory based mobility model for MANET

Most of the MANET protocols are evaluated by simulation environments. The validation is meaningful when they use realistic mobility models. Once the nodes have been initially distributed, the mobility model dictates the movement of the nodes within the network. If this movement is unrealistic, the simulation results obtained may not correctly reflect the true performance of the protocols. The majority of existing mobility models for ad hoc networks do not provide realistic movement. Most of the mobile nodes are directly or indirectly handled by human beings so 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 paper reinforces the model and overcome the challenges by using unified relationship matrix which identifying the community structure more accurately and helps to predict the behaviour of a MANET. Unified relationship matrix helps to represent the relationships of inter and intra type of nodes among the various community groups with in the given terrain. It solves the node duplication among various heterogeneous community groups and identifies the correct community structure.