Automating Network Simulation Tool and Data Processing in Ad Hoc Networks
Halim Berradi1, Ahmed Habbani2, Mohammed Souidi3, Hicham Amraoui4, Nada Mouchfiq5
1Halim Berradi*, SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco.
2Ahmed Habbani, SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco.
3Mohammed Souidi, SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco.
4Hicham Amraoui, SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco.
5Nada Mouchfiq, SSL Lab, ENSIAS, University of Mohammed V, Rabat, Morocco.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 4301-4310 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9146038620/2020©BEIESP | DOI: 10.35940/ijrte.F9146.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: One of the crucial and utilized simulator for mobile ad hoc network is the NS3 (Network Simulator). NS3 executes simulation scenarios and produces data regarding which flow monitor (flowMon) files are counted one of the important used format for estimating the research proposal. This article will introduce a novel framework to facilitate the simulation process in mobile ad hoc networks (MANETs). Generally speaking, when network researchers need to evaluate the experiments, there is generally the necessity to estimate the different models advantages by computing a set of QoS metrics to understand the network performance impact in such scenario. Network simulators, and NS3 specifically, need important program writing from the researcher to consolidate simulation results. This article states a contribution for NS3 composed of a new Framework that tends to make it less complicated to obtain and plot various QoS network performance metrics. This framework generates and runs simulations using common simulation parameters, such as velocity, mobility models, and number of nodes automatically. It also contains permits to parse through the generated flow that contain several essential metrics a researcher may need in order to analyze the simulation, such as end-to-end delay, lost packet, and throughput.
Keywords: Simulation Framework Design, Manet, Network Simulator, NS3, Flow Monitor.
Scope of the Article: Mechanical Design.