1 files changed, 135 insertions, 0 deletions
diff --git a/results/analysis_datasize2.R b/results/analysis_datasize2.R
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+++ b/results/analysis_datasize2.R
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+library("tidyverse")
+library("ggthemes")
+library("gridExtra")
+library("patchwork")
+library(RColorBrewer)
+
+data=read_csv("results_datasize.csv")    
+r_=function(x){round(x,digits=1)}
+color=function(){scale_fill_brewer(palette = "Accent")}
+color2=function(){scale_fill_brewer(palette = "Set2")}
+nolegend=function(){theme(legend.position="none")}
+simkeys=unique(data$simkey)
+nsimkeys=length(simkeys)
+s_=function(x){if(x<0){return("")}else{return("+")}}
+simkey_rename=function(key){
+    if(key=="hint")
+        return("Hints")
+    if(key=="baseline")
+        return("Baseline")
+    if(key=="extended")
+        return("Extended")
+    if(key=="hintandextended")
+        return("Hints+Extended")
+    return(key)
+}
+dformat=function(data){
+    data%>%rowwise()%>%mutate(simkey=simkey_rename(simkey))%>%mutate(wireless=ifelse(wireless=="lora","LoRa","Nb-IoT"))
+}
+
+dsformat=function(data){
+    data=data%>%mutate(datasize=ifelse(datasize==1000,"1KB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==10000,"10KB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==100000,"100KB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==500000,"500KB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==1000000,"1MB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==2000000,"2MB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==10000000,"10MB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==50000000,"50MB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==100000000,"100MB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==500000000,"500MB",as.character(datasize)))
+    data=data%>%mutate(datasize=ifelse(datasize==1000000000,"1GB",as.character(datasize)))
+    data$datasize=factor(data$datasize,levels=c("1KB","10KB","100KB","500KB","1MB","2MB","10MB","50MB","100MB","500MB","1GB"))
+    return(data)
+}
+
+g_legend <- function(a.gplot){ 
+    tmp <- ggplot_gtable(ggplot_build(a.gplot)) 
+    leg <- which(sapply(tmp$grobs, function(x) x$name) == "guide-box") 
+    legend <- tmp$grobs[[leg]] 
+    legend
+}
+
+custom_theme=function(){theme_clean()+ theme(plot.background=element_blank())}
+
+data=data%>%dformat()
+
+# Compute delivery success
+statsSuccess=data%>%filter(isSender!=0)%>%group_by(wireless,wakeupfor,datasize,seed,simkey)%>%summarize(success=mean(nSend))%>%ungroup()
+data=data%>%left_join(statsSuccess,by=c("wireless","wakeupfor","datasize","seed","simkey"))
+
+# Computer stats senders
+statsSender=data%>%filter(isSender!=0)%>%group_by(wireless,wakeupfor,datasize,seed,simkey)%>%summarize(success=mean(success),energy=mean(energy))%>%ungroup()
+statsSender=statsSender%>%group_by(wireless,wakeupfor,datasize,simkey)%>%summarize(success_sd=sd(success),success=mean(success),energy_sd=sd(energy),energy=mean(energy))%>%ungroup()
+
+# Computer stats receiver
+statsReceiver=data%>%filter(isSender==0)%>%group_by(wireless,wakeupfor,datasize,seed,simkey)%>%summarize(success=mean(success),energy=mean(energy))%>%ungroup()
+statsReceiver=statsReceiver%>%group_by(wireless,wakeupfor,datasize,simkey)%>%summarize(success_sd=sd(success),success=mean(success),energy_sd=sd(energy),energy=mean(energy))%>%ungroup()
+
+
+# Energy 
+sender60sPlotEnergy=ggplot(statsSender%>%filter(wakeupfor==60)%>%dsformat(),aes(datasize,energy,color=simkey,group=simkey))+
+    geom_ribbon(aes(ymin=energy-energy_sd, ymax=energy+energy_sd,fill=simkey),linetype=1,alpha=0.4)+
+    geom_point()+geom_line()+
+    facet_wrap(~wireless)+xlab("Data size")+ylab("Energy consumption (J)")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+ggtitle("Sender")+
+    guides(colour=FALSE,fill=guide_legend(title="Policy"))
+
+sender180sPlotEnergy=ggplot(statsSender%>%filter(wakeupfor==180)%>%dsformat(),aes(datasize,energy,color=simkey,group=simkey))+
+    geom_ribbon(aes(ymin=energy-energy_sd, ymax=energy+energy_sd,fill=simkey),linetype=1,alpha=0.4)+
+    geom_point()+geom_line()+
+    facet_wrap(~wireless)+xlab("Data size")+ylab("Energy consumption (J)")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+ggtitle("Sender")+
+    guides(colour=FALSE,fill=guide_legend(title="Policy"))
+
+
+receiver60sPlotEnergy=ggplot(statsReceiver%>%filter(wakeupfor==60)%>%dsformat(),aes(datasize,energy,color=simkey,group=simkey))+
+    geom_ribbon(aes(ymin=energy-energy_sd, ymax=energy+energy_sd,,fill=simkey),linetype=1,alpha=0.4)+
+    geom_point()+geom_line()+
+    facet_wrap(~wireless)+xlab("Data size")+ylab("Energy consumption (J)")+labs(colour="Policy") +  custom_theme()+theme(legend.position="top")+ggtitle("Receiver")+
+    guides(colour=FALSE,fill=guide_legend(title="Policy"))
+
+receiver180sPlotEnergy=ggplot(statsReceiver%>%filter(wakeupfor==180)%>%dsformat(),aes(datasize,energy,color=simkey,group=simkey))+
+    geom_ribbon(aes(ymin=energy-energy_sd, ymax=energy+energy_sd,fill=simkey),linetype=1,alpha=0.4)+
+    geom_point()+geom_line()+
+    facet_wrap(~wireless)+xlab("Data size")+ylab("Energy consumption (J)")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+ggtitle("Receiver")+
+    guides(colour=FALSE,fill=guide_legend(title="Policy"))
+
+# Success
+sender60sPlotSuccess=ggplot(statsSender%>%filter(wakeupfor==60)%>%dsformat(),aes(datasize,success,color=simkey,group=simkey))+
+    geom_ribbon(aes(ymin=success-success_sd, ymax=success+success_sd,fill=simkey),linetype=1,alpha=0.4)+
+    geom_point()+geom_line()+
+    facet_wrap(~wireless)+xlab("Data size")+ylab("Number of delivery success")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+
+    theme(panel.background = element_rect(fill = '#EFEFEF', color=NA))+guides(colour=FALSE,fill=guide_legend(title="Policy"))
+
+sender180sPlotSuccess=ggplot(statsSender%>%filter(wakeupfor==180)%>%dsformat(),aes(datasize,success,color=simkey,group=simkey))+
+    geom_ribbon(aes(ymin=success-success_sd, ymax=success+success_sd,fill=simkey),linetype=1,alpha=0.4)+
+    geom_point()+geom_line()+
+    facet_wrap(~wireless)+xlab("Data size")+ylab("Number of delivery success")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+
+    theme(panel.background = element_rect(fill = '#EFEFEF', color=NA))+guides(colour=FALSE,fill=guide_legend(title="Policy"))
+
+
+receiver60sPlotSuccess=ggplot(statsReceiver%>%filter(wakeupfor==60)%>%dsformat(),aes(datasize,success,color=simkey,group=simkey))+
+    geom_ribbon(aes(ymin=success-success_sd, ymax=success+success_sd,fill=simkey),linetype=1,alpha=0.4)+
+    geom_point()+geom_line()+
+    facet_wrap(~wireless)+xlab("Data size")+ylab("Number of delivery success")+labs(colour="Policy") +  custom_theme()+theme(legend.position="top")+
+    theme(panel.background = element_rect(fill = '#EFEFEF', color=NA))+guides(colour=FALSE,fill=guide_legend(title="Policy"))
+
+receiver180sPlotSuccess=ggplot(statsReceiver%>%filter(wakeupfor==180)%>%dsformat(),aes(datasize,success,color=simkey,group=simkey))+
+    geom_ribbon(aes(ymin=success-success_sd, ymax=success+success_sd,fill=simkey),linetype=1,alpha=0.4)+
+    geom_point()+geom_line()+
+    facet_wrap(~wireless)+xlab("Data size")+ylab("Number of delivery success")+labs(colour="Policy")+custom_theme()+theme(legend.position="top")+
+    theme(panel.background = element_rect(fill = '#EFEFEF', color=NA))+guides(colour=FALSE,fill=guide_legend(title="Policy"))
+
+
+
+w1=10
+h1=4
+w2=15
+h2=4
+ggsave("scalability_datasize_60s_sender_energy.pdf",plot=sender60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
+ggsave("scalability_datasize_60s_receiver_energy.pdf",plot=receiver60sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
+ggsave("scalability_datasize_60s_success.pdf",plot=sender60sPlotSuccess,width=w2,height=h2)
+
+ggsave("scalability_datasize_180s_sender_energy.pdf",plot=sender180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
+ggsave("scalability_datasize_180s_receiver_energy.pdf",plot=receiver180sPlotEnergy+guides(fill = FALSE, color = FALSE),width=w1,height=h1)
+ggsave("scalability_datasize_180s_success.pdf",plot=sender180sPlotSuccess,width=w2,height=h2)
+