Abstract: MANET is self-configuring network formed by wireless mobile nodes without the use of any stable infrastructure. Since nodes are free to move, network topology changes rapidly. In a MANET, providing stability for a long time is a challenging task. The groups of randomly aggregated nodes are called clustering. This property of nodes supports to improve the several network features in MANET. These groups are formed based on the resource level f each nodes and their trust value. Each cluster groups are controlled by a single node is called Cluster Head (CH). This node is being elected by the voting support of all other neighboring nodes within the cluster. The other Cluster Member (CM) nodes within the clusters can communicate through the CH by single hop communication. The mostly MANET research area is based on simulation because not much MANETs have been deployed. In MANET nodes mobility is based on the mobility models and it is one of the most important parameters of the simulation of the MANET. In this study, we have considered four mobility models: random walk, random way point, reference group point mobility, manhattan mobility. These mobility model scenarios are used to evaluate the performance of clustered MANET. Obviously the clustered MANET performance will vary according to each mobility model. Performance comparison illustrates the importance of choosing a stable mobility model for the simulation of MANET protocols.
T. Parameswaran and C. Palanisamy, 2016. Impact of Mobility Models in Clustered Dynamic Mobile Ad Hoc Networks. Asian Journal of Information Technology, 15: 2873-2879.