\documentclass{beamer}
\usepackage{graphics}

%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{Offline: Accuracy}
  \begin{table}[!ht]
    \centering
    \resizebox{\columnwidth}{!}{%
    \begin{tabular}{|l|l|l|l|l|l|}
    \hline
        \textbf{model} & f1\_baseline & f1\_hint & f1\_extended & f1\_hintandextended & accuracy \\ \hline
        \textit{knn} & 0.88 & NA & 0.89 & 0.91 & 0.81 \\ \hline
        \textit{tree} & 0.93 & NA & 0.86 & 0.92 & 0.83 \\ \hline
    \end{tabular}}
\end{table}
\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}