Best Selection of Mobility Model for MANET Using NS-2

A mobile ad hoc network (MANET) is an autonomous, self-configuring network of mobile nodes that can be formed without the need of any pre-established infrastructure or centralized administration. MANETs are extremely flexible and each node is free to move independently, in any random direction. Each node in MANET maintains continuously the information required to properly route traffic. This paper presents the mathematical model to select the best mobility model for any MANET using Network Simulator version 2 (NS-2) with respect to four performance metrics (Throughput, Packet Delivery Fraction (PDF), Average End-to-end Delay(AED), and Normalize Routing Load (NRL)) for different scenarios such as different number of nodes, different speeds, different pause times, different environment area and different traffic rates. The weights of these performance metrics are assigned according to user need. We use Ad-hoc On-demand Distance Vector (AODV) as routing protocol and four mobility models (Random Waypoint(RWP), Reference Point Group Model (RPGM), Gauss Markov Model (GMM), Manhattan Grid Model (MGM)). The results indicate that this model is efficient and flexible to select the best mobility model because the weights of performance metrics are determined according to user’s need.