From ba9e5e83c6faf476dd5d273a3e3e39c7fa4d65b0 Mon Sep 17 00:00:00 2001
From: Loic Guegan <manzerbredes@mailbox.org>
Date: Fri, 25 Nov 2022 11:22:51 +0100
Subject: Minor changes

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+\documentclass{beamer}
+
+%Information to be included in the title page:
+\title{Nodes data dissemination policy prediction under energy consumption and network coverage constraints}
+\author{Loic Guegan, Issam Raïs}
+\institute{UiT}
+\date{2022}
+
+
+\setbeamertemplate{navigation symbols}{}
+\begin{document}
+
+\frame{\titlepage}
+
+\begin{frame}
+  \frametitle{Context}
+  Disseminate data:
+  \begin{itemize}
+      \setlength\itemsep{0.8em}
+  \item Wireless communications
+  \item Energy constraint
+  \item Harsh environment
+  \end{itemize}
+  \vspace{1cm}
+  \centering
+  \textbf{But energy and coverage not deterministic}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Problem}
+  \includegraphics[trim={0 10cm 30cm 0},scale=0.3,clip]{../analysis/figures/dimension_energy-coverage.pdf}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Problem}
+  \textbf{How to choose the right configuration for a given setup?}\\
+  \vspace{1cm}
+  Knowing that:\\ \vspace{0.3cm}
+  \begin{itemize}
+  \item Perfect coverage not required:
+    \begin{itemize}
+    \item Just N+1,...,N+n redundancy (so n network coverage)
+    \item Collaboration of n nodes (say 3 to monitor some metrics)
+    \end{itemize}
+  \item Clear nodes energy budget
+  \end{itemize}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Problem}
+  Knowing:
+  \begin{itemize}
+  \item Nodes setup:
+    \begin{itemize}
+    \item LoRa/NbIoT?
+    \item Uptimes duration 60s/180s?
+    \end{itemize}
+  \item Requirements:
+    \begin{itemize}
+    \item Nodes energy consumption
+    \item Network coverage
+    \end{itemize}
+  \end{itemize}
+  \vspace{1cm}
+  \centering
+  \textbf{How can we predict which policy to use to meet the requirements?}
+\end{frame}
+
+
+\begin{frame}
+  \frametitle{Solution}
+  \begin{centering}
+    \textbf{Use classification models!}
+  \end{centering}\\ \vspace{1cm}
+  We choose:
+  \begin{itemize}
+  \item K Nearrest Neighbours
+  \item Decision Trees
+  \end{itemize}
+  \vspace{1cm}
+  Two ML training approaches:
+  \begin{itemize}
+  \item Offline
+  \item Online
+  \end{itemize}
+\end{frame}
+
+
+\begin{frame}
+  \frametitle{Offline: The hint case}
+  \centering
+  \includegraphics[scale=0.35]{../analysis/figures/dimension_energy-coverage.pdf}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Offline: Coverage}
+  \centering
+  \includegraphics[trim={0 0 20cm 0},scale=0.4,clip]{../analysis/figures/sim_dimension_coverage_WITH_HINT.pdf}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Offline: Energy}
+  \centering
+  \includegraphics[trim={0 0 20cm 0},scale=0.4,clip]{../analysis/figures/sim_dimension_energy_WITH_HINT.pdf}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Online}
+  \centering
+  \includegraphics[scale=0.3]{../analysis/figures/months_knn.pdf}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Contribution}
+  \begin{itemize}
+  \item Methodology
+  \item An offline model
+  \item A vision on how such model ML on an online ML scenario
+  \end{itemize}
+\end{frame}
+
+
+
+\end{document}
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