T IPS AND TOOLS TO AUTOMATE OMN E T++ SIMULATIONS AND TO FACILITATE POST DATA MANAGEMENT TASKS Leticia Lemus Cárdenas Dep. of Network Engineering Universitat Politècnica de Catalunya (UPC) Barcelona, Spain leticia.lemus@upc.edu Juan Pablo Astudillo León Dep. of Network Engineering Universitat Politècnica de Catalunya (UPC) Barcelona, Spain juan.pablo.astudillo@upc.edu Pablo Barbecho Bautista Dep. of Network Engineering Universitat Politècnica de Catalunya (UPC) Barcelona, Spain pablo.barbecho@upc.edu Mónica Aguilar Igartua Dep. of Network Engineering Universitat Politècnica de Catalunya (UPC) Barcelona, Spain monica.aguilar@upc.edu October 8, 2020 ABSTRACT Nowadays, network simulators are frequently used by researchers to work with different kind of communication networks. In this context, the objective of this work is to introduce the user to the main used simulation tools for wireless networks, in particular vehicular ad hoc networks (VANETs). In this report, we gather some useful tools and tips for researchers, including installation and operation of OMNET++, SUMO and VEINS. We think this information will be useful for new users and will save them a lot of time and effort at the beginning of their research works. For this, we have used a widely known distribution of Linux (Ubuntu 16.X). We describe how to integrate simulators OMNET++, VEINS, and SUMO to test vehicular communication protocols and services in an urban environment. This tutorial includes a virtual machine as additional material to help researchers. Our final objective is to assist researchers with their tasks associated to the development of novel proposals that require to perform simulations to show the benefits of their approaches. Keywords OMNeT++, SUMO, VEINS, data management tools, vehicular communications 1 Introduction The goal of this article is to gather a set of tips and tools that we think might be very useful for researchers that need to use simulation tools to carry out performance evaluations to test their proposals. Specifically, we focus of the field of wireless networks (vehicular networks, mesh networks...), although many tips and tools gathered here could be also useful for other research fields. Researchers (e.g., Ph.D. students) often spend a lot of time understanding how to run simulations on a simulation platform before they can begin the actual performance evaluation with that simulation tool. A performance evaluation normally will require to carry out a large amount of simulations, so that knowing how to speed up the whole simulation process and the posterior data management has paramount importance for researchers. In this article we collect useful tools, tips and advice from our experience during our research work to obtain our Ph.D. thesis. Our goal is to help researchers by sharing the knowledge that we have acquired during our research work. We sincerely believe that this useful guide will help other researchers, especially Ph.D. students, to speed up their tasks in obtaining their simulation results. The rest of the article is organized as follows: Section 2 is devoted to an introduction of machine learning tools, libraries, commands and metrics to help the researcher to start using machine learning algorithms. Section 3 includes useful