diff options
| author | Loic Guegan <manzerbredes@mailbox.org> | 2022-11-30 10:01:05 +0100 |
|---|---|---|
| committer | Loic Guegan <manzerbredes@mailbox.org> | 2022-11-30 10:01:05 +0100 |
| commit | 3a4c5500f7c3e139fbb44b2c98343bd0091ae593 (patch) | |
| tree | a0977227382a176e759812a7762636510eef3905 | |
| parent | 6e4fbcd47a712e9be62d01eeecf0744a87de2ec8 (diff) | |
Minor changes
26 files changed, 330 insertions, 195 deletions
diff --git a/analysis/analysis.R b/analysis/analysis.R index f2343a7..8a76849 100644 --- a/analysis/analysis.R +++ b/analysis/analysis.R @@ -19,6 +19,7 @@ nwireless=2 nsimkey=4 nsimulations=nseed*nwakeupfor*nwireless*nsimkey # Must be 3200 +if(1==2){ ## Load data data=read_csv("../CCGRID2022.csv")%>%distinct() # Note that in the data experiment wireless=="lora",seed==1,wakeupfor==60,simkey=="baseline" is present 2 times in the CSV file tmp_data_coverage=data%>%group_by(simkey,wireless,wakeupfor,seed)%>%mutate(coverage=sum(nDataRcv))%>%ungroup()%>%filter(isSender==1)%>%select(simkey,wireless,wakeupfor,seed,coverage) @@ -38,7 +39,7 @@ sim=sim%>%group_by(simkey,wireless,wakeupfor,energy_constraint,coverage_constrai sim=sim%>%arrange(energy_constraint,coverage_constraint)%>%group_by(wireless,wakeupfor,model)%>%mutate(id=row_number())%>%ungroup() # Create id for each experiment rand_id=sample(seq(1,NROW(sim)/8)) sim=sim%>%mutate(id_rand=rand_id[id]) - +} ## Perform various plots to understand the data GG_VARIOUS=function(){ ## Dimension Coverage @@ -56,19 +57,19 @@ GG_VARIOUS=function(){ ggsave("figures/dimension_efficiency.pdf") ## Dimension Energy/Coverage ggplot(data_seed%>%mutate(wakeupfor=as.character(wakeupfor)), - aes(coverage,energy,color=simkey))+geom_point()+ - ggtitle("Dimension Energy/Coverage")+xlab("Coverage")+ylab("Sum of nodes energy consumption (J)")+ + aes(coverage,energy,color=simkey))+geom_point(alpha=0.5)+labs(color="Policy")+theme(legend.position="top")+ + ggtitle("Dimension Energy/Coverage")+xlab("Coverage")+ylab("Nodes energy consumption (J)")+ facet_wrap(~wakeupfor+wireless,scale="free") ggsave("figures/dimension_energy-coverage.pdf") ## Dimension Energy/Coverage Wakeupfor ggplot(data_seed%>%mutate(wakeupfor=as.character(wakeupfor)), - aes(coverage,energy,color=wakeupfor))+geom_point()+ - ggtitle("Dimension Energy/Coverage Wakeupfor")+xlab("Coverage")+ylab("Sum of nodes energy consumption (J)") + aes(coverage,energy,color=wakeupfor))+geom_point(alpha=0.5)+labs(color="Policy")+theme(legend.position="top")+ + ggtitle("Dimension Energy/Coverage Wakeupfor")+xlab("Coverage")+ylab("Nodes energy consumption (J)") ggsave("figures/dimension_energy-coverage-wakeupfor.pdf") ## Dimension Energy/Coverage Policy ggplot(data_seed%>%mutate(wakeupfor=as.character(wakeupfor)), - aes(coverage,energy,color=simkey))+geom_point()+ - ggtitle("Dimension Energy/Coverage Policy")+xlab("Coverage")+ylab("Sum of nodes energy consumption (J)") + aes(coverage,energy,color=simkey))+geom_point(alpha=0.5)+labs(color="Policy")+ + ggtitle("Dimension Energy/Coverage Policy")+xlab("Coverage")+ylab("Nodes energy consumption (J)") ggsave("figures/dimension_energy-coverage-policy.pdf") @@ -88,23 +89,26 @@ GG_SIMULATIONS = function(file,key="NOKEY") { rand_id=sample(seq(1,NROW(sim)/8)) sim=sim%>%mutate(id_rand=rand_id[id]) - sim_means=sim%>%group_by(wireless,wakeupfor,model)%>%summarize(mean_energy=mean(mean_energy_delta),mean_coverage=mean(mean_coverage_delta)) + sim_means=sim%>%group_by(wireless,wakeupfor,model)%>%summarize(mean_energy=mean(mean_energy_delta),mean_coverage=mean(mean_coverage_delta),sd_energy=sd(sd_energy_delta),sd_coverage=sd(sd_coverage_delta)) + write.csv(sim_means%>%mutate_if(is.numeric, ~round(.,digits=2)),paste0("figures/sim_results_",key,".csv"),row.names=FALSE, quote=FALSE) + ## Dimension Energy ggplot(sim,aes(id_rand,mean_energy_delta,color=model))+ - geom_hline(data=sim_means,aes(yintercept=mean_energy,color=model),linetype="dashed")+ geom_ribbon(aes(ymin=mean_energy_delta-sd_energy_delta,ymax=mean_energy_delta+sd_energy_delta,fill=model),alpha=0.2,color=NA)+ geom_point(aes(shape=simkey),size=2)+geom_line()+facet_wrap(~wireless+wakeupfor,scale="free")+ggtitle(paste0("Simulation Dimension Energy (",key,")"))+ylab("Energy Relative Absolute Error (J)")+ scale_x_continuous("Experiments id",breaks=seq(1,max(sim$id)))+theme(panel.grid.minor = element_blank())+labs(shape="Predictions")+ - guides(fill=guide_legend(title="Models"),color=guide_legend(title="Models"))+ + geom_hline(data=sim_means,aes(yintercept=mean_energy,color=model))+ + guides(fill=guide_legend(title="Models"),color=guide_legend(title="Models"))+theme(legend.position="top")+ theme(axis.text.x=element_blank(),axis.ticks.x=element_blank()) - ggsave(paste0("figures/sim_dimension_energy_",key,".pdf"),width=20) + ggsave(paste0("figures/sim_dimension_energy_",key,".pdf"),width=10) + ## Dimension Coverage ggplot(sim,aes(id_rand,mean_coverage_delta,color=model))+ geom_hline(data=sim_means,aes(yintercept=mean_coverage,color=model),linetype="dashed")+ geom_ribbon(aes(ymin=mean_coverage_delta-sd_coverage_delta,ymax=mean_coverage_delta+sd_coverage_delta,fill=model),alpha=0.2,color=NA)+ geom_point(aes(shape=simkey),size=2)+geom_line()+facet_wrap(~wireless+wakeupfor,scale="free")+ggtitle(paste0("Simulation Dimension Coverage (",key,")"))+ylab("Coverage Relative Absolute Error")+ scale_x_continuous("Experiments id",breaks=seq(1,max(sim$id)))+theme(panel.grid.minor = element_blank())+labs(shape="Predictions")+ - guides(fill=guide_legend(title="Models"),color=guide_legend(title="Models"))+ + guides(fill=guide_legend(title="Models"),color=guide_legend(title="Models"))+theme(legend.position="top")+ theme(axis.text.x=element_blank(),axis.ticks.x=element_blank()) ggsave(paste0("figures/sim_dimension_coverage_",key,".pdf"),width=20) diff --git a/analysis/days.R b/analysis/days.R index 601f210..ce12930 100644 --- a/analysis/days.R +++ b/analysis/days.R @@ -139,11 +139,12 @@ sapply(c("knn","tree"),function(grp){ plot=plot+geom_point(data=data%>%drop_na(mean_f1_hint),aes(months,mean_f1_hint,color="hint"))+geom_line(data=data%>%drop_na(mean_f1_hint),aes(months,mean_f1_hint,color="hint")) } - plot=plot+xlab("Number of training months")+ylab(paste("Mean",grp,"accuracy"))+ggtitle(paste(grp,"accuracy"))+ + plot=plot+xlab("Number of months")+ylab(paste("Mean",grp,"accuracy"))+ggtitle(paste(grp,"accuracy"))+ # geom_hline(data=metrics_peak%>%filter(model==grp),aes(yintercept=max_accuracy),color="red",size=1)+ # geom_text(data=metrics_peak%>%filter(model==grp),x=0,aes(y=max_accuracy,label = round(max_accuracy,digits=1),vjust=-1),color="red")+ - facet_wrap(~wireless+wakeupfor)+scale_x_continuous(breaks = seq(0, max(result_summary$months), by = 1))+ylim(c(0,1))+labs(color="F1 Score") - ggsave(paste0("figures/months_",grp,".pdf"),width=20,height=15) + facet_wrap(~wireless+wakeupfor)+scale_x_continuous(breaks = seq(0, max(result_summary$months), by = 1))+ylim(c(NA,1))+labs(color="F1 Score")+ + theme(legend.position="top") + ggsave(paste0("figures/months_",grp,".pdf"),width=9,height=8) print(plot) }) diff --git a/analysis/figures/combined.pdf b/analysis/figures/combined.pdf Binary files differindex 80f32bd..9a4ed4b 100644 --- a/analysis/figures/combined.pdf +++ b/analysis/figures/combined.pdf diff --git a/analysis/figures/dimension_coverage.pdf b/analysis/figures/dimension_coverage.pdf Binary files differindex 6761219..4081087 100644 --- a/analysis/figures/dimension_coverage.pdf +++ b/analysis/figures/dimension_coverage.pdf diff --git a/analysis/figures/dimension_efficiency.pdf b/analysis/figures/dimension_efficiency.pdf Binary files differindex cc4ac9b..bc639e4 100644 --- a/analysis/figures/dimension_efficiency.pdf +++ b/analysis/figures/dimension_efficiency.pdf diff --git a/analysis/figures/dimension_energy-coverage-policy.pdf b/analysis/figures/dimension_energy-coverage-policy.pdf Binary files differindex 1bcb5cc..c0440c7 100644 --- a/analysis/figures/dimension_energy-coverage-policy.pdf +++ b/analysis/figures/dimension_energy-coverage-policy.pdf diff --git a/analysis/figures/dimension_energy-coverage-wakeupfor.pdf b/analysis/figures/dimension_energy-coverage-wakeupfor.pdf Binary files differindex 22d7539..42869c6 100644 --- a/analysis/figures/dimension_energy-coverage-wakeupfor.pdf +++ b/analysis/figures/dimension_energy-coverage-wakeupfor.pdf diff --git a/analysis/figures/dimension_energy-coverage.pdf b/analysis/figures/dimension_energy-coverage.pdf Binary files differindex 02d04ec..6d7cf5c 100644 --- a/analysis/figures/dimension_energy-coverage.pdf +++ b/analysis/figures/dimension_energy-coverage.pdf diff --git a/analysis/figures/dimension_energy.pdf b/analysis/figures/dimension_energy.pdf Binary files differindex a2f0c51..5a5b51c 100644 --- a/analysis/figures/dimension_energy.pdf +++ b/analysis/figures/dimension_energy.pdf diff --git a/analysis/figures/f1_scores_offline_ignoreHINTFALSE.csv b/analysis/figures/f1_scores_offline_ignoreHINTFALSE.csv new file mode 100644 index 0000000..6f8b376 --- /dev/null +++ b/analysis/figures/f1_scores_offline_ignoreHINTFALSE.csv @@ -0,0 +1,3 @@ +model,f1_baseline,f1_hint,f1_extended,f1_hintandextended,accuracy +knn,0.83,0.73,0.9,0.79,0.69 +tree,0.9,0.75,0.86,0.79,0.7 diff --git a/analysis/figures/f1_scores_offline_ignoreHINTTRUE.csv b/analysis/figures/f1_scores_offline_ignoreHINTTRUE.csv new file mode 100644 index 0000000..fa754ff --- /dev/null +++ b/analysis/figures/f1_scores_offline_ignoreHINTTRUE.csv @@ -0,0 +1,3 @@ +model,f1_baseline,f1_hint,f1_extended,f1_hintandextended,accuracy +knn,0.88,NA,0.89,0.91,0.81 +tree,0.93,NA,0.86,0.92,0.83 diff --git a/analysis/figures/months_knn.pdf b/analysis/figures/months_knn.pdf Binary files differindex 17a4ad1..2eab11f 100644 --- a/analysis/figures/months_knn.pdf +++ b/analysis/figures/months_knn.pdf diff --git a/analysis/figures/months_tree.pdf b/analysis/figures/months_tree.pdf Binary files differindex 83d4f6d..60fe389 100644 --- a/analysis/figures/months_tree.pdf +++ b/analysis/figures/months_tree.pdf diff --git a/analysis/figures/sim_dimension_coverage_NO_HINT.pdf b/analysis/figures/sim_dimension_coverage_NO_HINT.pdf Binary files differindex b9b9519..096e285 100644 --- a/analysis/figures/sim_dimension_coverage_NO_HINT.pdf +++ b/analysis/figures/sim_dimension_coverage_NO_HINT.pdf diff --git a/analysis/figures/sim_dimension_coverage_WITH_HINT.pdf b/analysis/figures/sim_dimension_coverage_WITH_HINT.pdf Binary files differindex a226cf0..567ec38 100644 --- a/analysis/figures/sim_dimension_coverage_WITH_HINT.pdf +++ b/analysis/figures/sim_dimension_coverage_WITH_HINT.pdf diff --git a/analysis/figures/sim_dimension_energy_NO_HINT.pdf b/analysis/figures/sim_dimension_energy_NO_HINT.pdf Binary files differindex d5ab543..7a8129f 100644 --- a/analysis/figures/sim_dimension_energy_NO_HINT.pdf +++ b/analysis/figures/sim_dimension_energy_NO_HINT.pdf diff --git a/analysis/figures/sim_dimension_energy_WITH_HINT.pdf b/analysis/figures/sim_dimension_energy_WITH_HINT.pdf Binary files differindex 590bc80..cfdbf83 100644 --- a/analysis/figures/sim_dimension_energy_WITH_HINT.pdf +++ b/analysis/figures/sim_dimension_energy_WITH_HINT.pdf diff --git a/analysis/figures/sim_results_NO_HINT.csv b/analysis/figures/sim_results_NO_HINT.csv new file mode 100644 index 0000000..bb766bd --- /dev/null +++ b/analysis/figures/sim_results_NO_HINT.csv @@ -0,0 +1,9 @@ +wireless,wakeupfor,model,mean_energy,mean_coverage,sd_energy,sd_coverage +lora,60,knn,-32.58,-0.06,98.03,0.72 +lora,60,tree,-155.83,-0.98,119.03,0.87 +lora,180,knn,-1125.21,5.26,99.11,0.22 +lora,180,tree,-1659.57,2.44,199.05,0.44 +nbiot,60,knn,-497.99,0.32,52.86,0.3 +nbiot,60,tree,-520.09,-0.09,60.35,0.34 +nbiot,180,knn,12.46,2.32,149.98,0.17 +nbiot,180,tree,-284.82,2.18,257.4,0.29 diff --git a/analysis/figures/sim_results_WITH_HINT.csv b/analysis/figures/sim_results_WITH_HINT.csv new file mode 100644 index 0000000..b029bef --- /dev/null +++ b/analysis/figures/sim_results_WITH_HINT.csv @@ -0,0 +1,9 @@ +wireless,wakeupfor,model,mean_energy,mean_coverage,sd_energy,sd_coverage +lora,60,knn,-171.89,-0.78,119.98,0.88 +lora,60,tree,-207.11,-1.05,123.19,0.9 +lora,180,knn,-2629.47,0.11,202.56,0.44 +lora,180,tree,-2924.29,-1.44,172.87,0.38 +nbiot,60,knn,-560.44,-0.53,67.91,0.38 +nbiot,60,tree,-521.77,0.19,61.78,0.35 +nbiot,180,knn,-1543.86,1.51,377.76,0.43 +nbiot,180,tree,-1874.18,1.36,357.03,0.41 diff --git a/analysis/learning.R b/analysis/learning.R index 684dc7b..7273338 100644 --- a/analysis/learning.R +++ b/analysis/learning.R @@ -112,7 +112,7 @@ build_models=function(ignore_hint=TRUE){ f1_extended=mean(f1_extended), f1_hintandextended=mean(f1_hintandextended), accuracy=mean(accuracy)) - write.csv(perfs,"figures/f1_scores_offline.csv",quote=FALSE,row.names=FALSE) + write.csv(perfs,paste0("figures/f1_scores_offline_ignoreHINT",ignore_hint,".csv"),quote=FALSE,row.names=FALSE) ## Return models models diff --git a/sim_results_WITH_HINT.csv b/sim_results_WITH_HINT.csv new file mode 100644 index 0000000..39c19dc --- /dev/null +++ b/sim_results_WITH_HINT.csv @@ -0,0 +1,9 @@ +wireless,wakeupfor,model,mean_energy,mean_coverage,sd_energy,sd_coverage +lora,60,knn,-171.894174890438,-0.78485,119.979021362517,0.881000506695269 +lora,60,tree,-207.109176324438,-1.04665,123.191879356029,0.904592377074608 +lora,180,knn,-2629.4686696761,0.1098,202.560364777475,0.443808358187967 +lora,180,tree,-2924.2896443689,-1.4438,172.872323473877,0.378762065033623 +nbiot,60,knn,-560.440017196791,-0.5309,67.911175922628,0.383376573032041 +nbiot,60,tree,-521.772976409591,0.1894,61.7799955249044,0.34876443596349 +nbiot,180,knn,-1543.86310825951,1.5118,377.756601017951,0.428983701022527 +nbiot,180,tree,-1874.17989124751,1.3578,357.028483796222,0.40544466975995 diff --git a/slides_recap/main.aux b/slides_recap/main.aux index fe469cb..3e8f079 100644 --- a/slides_recap/main.aux +++ 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PDF statistics: - 155 PDF objects out of 1000 (max. 8388607) - 110 compressed objects within 2 object streams - 25 named destinations out of 1000 (max. 500000) - 81 words of extra memory for PDF output out of 10000 (max. 10000000) + 182 PDF objects out of 1000 (max. 8388607) + 132 compressed objects within 2 object streams + 31 named destinations out of 1000 (max. 500000) + 63 words of extra memory for PDF output out of 10000 (max. 10000000) diff --git a/slides_recap/main.nav b/slides_recap/main.nav index 1769a89..00c131b 100644 --- a/slides_recap/main.nav +++ b/slides_recap/main.nav @@ -22,8 +22,14 @@ \headcommand {\beamer@framepages {11}{11}} \headcommand {\slideentry {0}{0}{12}{12/12}{}{0}} \headcommand {\beamer@framepages {12}{12}} -\headcommand {\beamer@partpages {1}{12}} -\headcommand {\beamer@subsectionpages {1}{12}} -\headcommand {\beamer@sectionpages {1}{12}} -\headcommand {\beamer@documentpages {12}} -\headcommand {\gdef \inserttotalframenumber {12}} +\headcommand {\slideentry {0}{0}{13}{13/13}{}{0}} +\headcommand {\beamer@framepages {13}{13}} +\headcommand {\slideentry {0}{0}{14}{14/14}{}{0}} +\headcommand {\beamer@framepages {14}{14}} +\headcommand {\slideentry {0}{0}{15}{15/15}{}{0}} +\headcommand {\beamer@framepages {15}{15}} +\headcommand {\beamer@partpages {1}{15}} +\headcommand {\beamer@subsectionpages {1}{15}} +\headcommand {\beamer@sectionpages {1}{15}} +\headcommand {\beamer@documentpages {15}} +\headcommand {\gdef \inserttotalframenumber {15}} diff --git a/slides_recap/main.pdf b/slides_recap/main.pdf Binary files differindex 31ab9d0..1f05590 100644 --- a/slides_recap/main.pdf +++ b/slides_recap/main.pdf 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} |