Minor changes

5 files changed, 276 insertions, 179 deletions

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diff --git a/slides_recap/main.nav b/slides_recap/main.nav
index 1769a89..00c131b 100644
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diff --git a/slides_recap/main.pdf b/slides_recap/main.pdf
index 31ab9d0..1f05590 100644
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diff --git a/slides_recap/main.tex b/slides_recap/main.tex
index 19c4837..b72fbc4 100644
--- a/slides_recap/main.tex
+++ b/slides_recap/main.tex
@@ -1,8 +1,10 @@
 \documentclass{beamer}
 \usepackage{graphics}
+\usepackage{xcolor}
+\usepackage{multirow}
 
 %Information to be included in the title page:
-\title{Nodes data dissemination policy prediction under energy consumption and network coverage constraints}
+\title{Data dissemination policy predictions under energy consumption and network coverage constraints}
 \author{Loic Guegan, Issam Raïs}
 \institute{UiT}
 \date{2022}
@@ -20,31 +22,34 @@
       \setlength\itemsep{0.8em}
   \item Wireless communications
   \item Energy constraint
-  \item Harsh environment
+  \item Maximize coverage
   \end{itemize}
   \vspace{1cm}
   \centering
-  \textbf{But energy and coverage not deterministic}
+  \textbf{But energy and coverage are not deterministic}
 \end{frame}
 
 \begin{frame}
   \frametitle{Problem}
-  \includegraphics[trim={0 10cm 30cm 0},scale=0.3,clip]{../analysis/figures/dimension_energy-coverage.pdf}
+  \centering
+  \includegraphics[scale=0.49]{../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}
+  Conditions:\\ \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)
+    \item Just N+1,...,N+n redundancy (network coverage of n)
+    \item Collaboration of n nodes (e.g 3 to monitor a phenomenon)
     \end{itemize}
-  \item Clear nodes energy budget
+  \item With a target energy budget
+  \item Minimizing energy consumption not required (low energy target)
   \end{itemize}
+  \vspace{1cm}
+  \centering
+  \textbf{How to choose the correct policy for a given setup?}
 \end{frame}
 
 \begin{frame}
@@ -79,7 +84,7 @@
   \item Decision Trees
   \end{itemize}
   \vspace{1cm}
-  Two ML training approaches:
+  Two ML/Analytics approaches for training:
   \begin{itemize}
   \item Offline
   \item Online
@@ -87,49 +92,147 @@
 \end{frame}
 
 \begin{frame}
-  \frametitle{Offline: The hint case}
-  \centering
-  \includegraphics[scale=0.35]{../analysis/figures/dimension_energy-coverage.pdf}
+  \frametitle{Offline: Accuracy}
+  Two metrics:
+  \begin{itemize}
+  \item F1 Score
+  \item Accuracy
+  \end{itemize}
+  \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} & 0.83 & 0.73 & 0.9 & 0.79 & 0.69 \\ \hline
+        \textit{tree} & 0.9 & 0.75 & 0.86 & 0.79 & 0.7 \\ \hline
+    \end{tabular}}   
+  \end{table}
 \end{frame}
 
 \begin{frame}
-  \frametitle{Offline: Coverage}
+  \frametitle{Offline: The hint case}
   \centering
-  \includegraphics[trim={0 0 20cm 0},scale=0.4,clip]{../analysis/figures/sim_dimension_coverage_WITH_HINT.pdf}
+  \includegraphics[scale=0.45]{../analysis/figures/dimension_energy-coverage.pdf}
 \end{frame}
 
 \begin{frame}
-  \frametitle{Offline: Energy}
+  \frametitle{Offline: The hint case}
   \centering
-  \includegraphics[trim={0 0 20cm 0},scale=0.4,clip]{../analysis/figures/sim_dimension_energy_WITH_HINT.pdf}
+  \vspace{-0.7cm}
+  \includegraphics[scale=0.55]{../analysis/figures/tree_false.pdf}
 \end{frame}
 
+
 \begin{frame}
-  \frametitle{Offline: Accuracy}
+  \frametitle{Offline: Accuracy (no hint)}
+  \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} & 0.83 & 0.73 & 0.9 & 0.79 & 0.69 \\ \hline
+        \textit{tree} & 0.9 & 0.75 & 0.86 & 0.79 & 0.7 \\ \hline
+    \end{tabular}}   
+  \end{table}
+  %%% ----- No hint
   \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
+        \textit{knn} & 0.88 & NA & 0.89 & \textbf{\color{red}0.91} & \textbf{\color{blue}0.81} \\ \hline
+        \textit{tree} & 0.93 & NA & 0.86 & \textbf{\color{red}0.92} & \textbf{\color{blue}0.83} \\ \hline
+    \end{tabular}}   
+  \end{table}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Offline: Simulation results}
+  Random:
+  \begin{itemize}
+  \item Energy budget $[min(e), max(e)]$
+  \item Coverage target $[1, 12]$
+  \end{itemize}
+  \centering
+  \begin{table}[!ht]
+    \centering
+    \resizebox{\columnwidth}{!}{%
+    \begin{tabular}{|l|l|l|r|r|}
+      \hline
+      wireless & wakeupfor & model & $\overline{\Delta}$ Energy (J) & $\overline{\Delta}$ coverage \\ \hline
+      \multirow{4}{*}{LoRa} & \multirow{2}{*}{60} & knn  & -171.89(120)  & -0.78(0.88) \\ \cline{3-5}
+      & & tree                                           & -207.11(123)  & -1.05(0.90) \\ \cline{2-5}
+      & \multirow{2}{*}{180} & knn                       & -2629.47(203) & 0.11(0.44) \\ \cline{3-5}
+      & & tree                                           & {\color{red}-2924.29(173)} & {\color{blue}-1.44(0.38)} \\ \hline
+      \multirow{4}{*}{NbIoT} & \multirow{2}{*}{60} & knn & -560.44(68)   & -0.53(0.38) \\ \cline{3-5}
+      & & tree                                           & -521.77(62)   & 0.19(0.35) \\ \cline{2-5}
+      & \multirow{2}{*}{180} & knn                       & -1543.86(378) & {\color{blue}1.51(0.43)} \\ \cline{3-5}
+      & & tree                                           & {\color{red}-1874.18(357)} & 1.36(0.41) \\ \hline
     \end{tabular}}
-\end{table}
+  \end{table}
 \end{frame}
 
 \begin{frame}
   \frametitle{Online}
-  \centering
-  \includegraphics[scale=0.3]{../analysis/figures/months_knn.pdf}
+  Assumptions:
+  \begin{itemize}
+  \item One policy per day (round-robin)
+  \item All nodes use the same policy
+  \item One extra communication per day by the sender (learning)
+  \item Energy consumption + Coverage known among the nodes
+  \end{itemize}
+  \vspace{1cm}
+  Consequences:
+  \begin{itemize}
+  \item Each node build the same model
+  \item Each node will take the same decision (policy)
+  \end{itemize}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Online: KNN}
+  \vspace{-1.7cm}\hfill\includegraphics[scale=0.38]{../analysis/figures/months_knn.pdf}        
+  \begin{itemize}
+  \item $\ne$ learning curves
+  \item Easier predictions on less constraint scenarios
+  \end{itemize}
+\end{frame}
+
+
+\begin{frame}
+  \frametitle{Online: Tree}
+  \vspace{-1.7cm}\hfill\includegraphics[scale=0.38]{../analysis/figures/months_tree.pdf}\hspace{-0.8cm}
+  \begin{itemize}
+  \item Baseline easier to predict
+  \item Easier predictions on less constraint scenarios
+  \end{itemize}
 \end{frame}
 
 \begin{frame}
-  \frametitle{Contribution}
+  \frametitle{Summary}
+  Results:
+  \begin{itemize}
+  \item \textit{Similar policies} could lower model's accuracy
+  \item Work well with policies with \textit{low variances} in energy (fallback to energy budget (scale))
+  \item Online ML:
+    \begin{itemize}
+    \item Learning curve hard to predict (long/short)
+    \item Applicable to less energy constraint scenarios
+    \end{itemize}
+  \end{itemize}
+  Contributions:
   \begin{itemize}
   \item Methodology
-  \item An offline model
-  \item A vision on how such model ML on an online ML scenario
+  \item A study (simulations) of online/offline model
+  \end{itemize}
+  Futur works:
+  \begin{itemize}
+  \item Cost of online classification (e.g: energy)
+  \item Impact of parameters on training time (e.g: number of nodes)
+  \item Opportunistic learning for online classification (e.g: use occuring communications for learning)
   \end{itemize}
 \end{frame}