PhD thesis

My PhD thesis

Title: Enhancement of vehicular ad hoc networks using machine learning-based prediction methods. Dissertation defense in 22nd July 2020. Download

Abstract: Nowadays, many applications and services are based on big data because valuable information can be extracted when the data is properly processed. Under this premise, it has been considered relevant to collect historical data about vehicular network conditions and related them to the related performance of the VANET. The collected data provides us useful information to design new routing strategies based on predictions. With this goal in mind, we have evaluated different routing metrics (distance to destination, vehicles' density, available bandwidth) that describe the network conditions when the vehicle currently holding a packet needs to choose the best next-hop to forward the packet towards a specific destination, following a hop-by-hop scheme.

PhD tips & tools

Authors: Leticia Lemus Cárdenas, Juan P. Astudillo León, Pablo A. Barbecho Bautista, Mónica Aguilar Igartua.

Title: Tips and tools to automate OMNeT++ simulations and to facilitate post data management tasks, http://hdl.handle.net/2117/330064. Research report, 8th October 2020.

Abstract: Collection of tips for PhD researchers to help them to start with several simulation tools, e.g. OMNET/VEINS/SUMO/OSM. Also, it introduces useful tools to speed up simulations and posterior management of results. Finally, some tips about Latex editors and deep learning tools.