The Role of Mobility Models in MANET Routing Protocols Efficiency

Abstract

The efficiency of routing protocols in Mobile Ad Hoc Networks (MANETs) is critically influenced by the mobility models used to simulate the movement patterns of nodes. Mobility models are essential in reflecting realistic scenarios and ensuring the robustness and reliability of routing protocols. This paper delves into various mobility models, such as the Random Waypoint, Gauss-Markov, and Manhattan Grid models, assessing their impact on the performance of prominent MANET routing protocols like AODV (Ad hoc On-Demand Distance Vector), DSR (Dynamic Source Routing), and OLSR (Optimized Link State Routing). Through extensive simulations, it is demonstrated that different mobility models can significantly affect metrics such as packet delivery ratio, end-to-end delay, and routing overhead. For instance, the Random Waypoint model tends to create more dynamic topologies, posing challenges for protocols like AODV, whereas the Manhattan Grid model, with its structured movement patterns, may favor the performance of OLSR. The findings underscore the necessity of selecting appropriate mobility models based on the specific application scenarios and the corresponding network requirements. Understanding these interactions aids in the design and optimization of more efficient MANET routing protocols, ultimately enhancing the reliability and performance of mobile networks in real-world applications.