SIMULATION-BASED PREDICTION OF MANET PERFORMANCE IN DYNAMIC NETWORKS
Abstract
Mobile Ad Hoc Networks (MANETs) operate in dynamic environments where node mobility continuously alters network topology. While simulation-based studies provide extensive measurements, most remain descriptive and do not support performance prediction. This paper proposes a lightweight, simulation-driven approach for deriving predictive trends from controlled experiments. Using GloMoSim, four scenarios are defined in which all parameters are fixed except node mobility, which increases from static to highly dynamic regimes. Employing the Ad hoc On-Demand Distance Vector (AODV) routing protocol and multiple Constant Bit Rate (CBR) flows over the User Datagram Protocol (UDP), the study evaluates packet delivery ratio, delay, throughput, and routing overhead. The results reveal structured relationships between mobility and performance, enabling empirical prediction of operational regimes and trade-offs prior to deployment.
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