OMNeT++ and Riverbed: Comparing the Features and Accuracy of Network Simulators for Throughput Using a Network Testbed

Network simulation plays a critical role in evaluating protocol performance and predicting real‑world behavior before deployment. This paper presents a comparative study of two widely used network simulators, OMNeT++ (open source) and Riverbed Modeler (commercial) with a focus on feature capabilities, modeling flexibility, and throughput accuracy when results are validated against a physical testbed. We first develop a Wi-Fi network testbed using Gigabit Wi-Fi cards (IEEE 802.11ac) and an access point (AP). Using this testbed, we conduct various field experiments involving Wi-Fi links in the university multistory building under line-of-sight indoor radio propagation conditions. The link throughput was recorded for various AP-Rx separation (Rx: Receiver/wireless laptop) ranging from 5 to 25 m. We then develop simulation models on both network simulators using a consistent stream of multimedia traffic to obtain accurate reading for network throughput. We validate link throughputs of both simulators by comparing them against the testbed results in the same operating condition of the testbed. Our findings show that while Riverbed Modeler shows a clear drop in throughput for increasing AP-Rx separation (5 to 25 m), OMNeT++ didn’t drop any throughputs. The discrepancy of throughput performance between two credible simulators suggests that network researchers and practitioners should be careful in selecting the most appropriate simulator for simulation tasks based on experimental goals, network context, and required level of modeling and validation. Finally, we provide guidelines for best practice checklist in network simulation and model validation.