From 521a44d861faa0b46ea57afe356d455834ddb63e Mon Sep 17 00:00:00 2001
From: Claudio <claudio.mandrioli@control.lth.se>
Date: Wed, 3 Oct 2018 17:31:59 +0200
Subject: [PATCH] sec5 work in progress
---
paper/sections/06-results.tex | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/paper/sections/06-results.tex b/paper/sections/06-results.tex
index ab45ea0..5a29975 100644
--- a/paper/sections/06-results.tex
+++ b/paper/sections/06-results.tex
@@ -41,7 +41,7 @@ Figure~\ref{fig:control1} shows the command signal used to show the time that pa
Some previous works cited in section~\ref{sec:related} discuss the TTFF but none of them does it by looking in detail at the technology of the GPS~\cite{bib:entracked-datadriven-modeling}~\cite{bib:feasibility-duty-cycling}~\cite{bib:accuracy-adaptation}. The performances are evaluated for smartphones looking at how much time it takes for an application to get a position measure after the API request \textcolor{red}{??}. An important remark is that GPS sensors in smartphones implement the so called Assisted-GPS that allows the retrieval of the ephemeris data from the internet instead of listening to the satellites. The model presented in this paper can be adapted to reprent this allowing for an external input that triggers the transition \texttt{get\_ephemeris}, possibly before the delay that represent the action of listening instead to the satellites.
-Up to the limited extent to which they are comparable -- due to the extra software layers included in the experiments and the fact that are used Assisted-GPS sensors -- the results are coherent with what discussed here. Our model on the other side achieves more generality not being dependent on the specific implementation on the given device. Moreover it allows to look directly at what are the theoretical performances we should expect from a GPS sensor without the overhead that is introduced by the operative system of a smartphone.
+Up to the limited extent to which they are comparable -- due to the fact that are used Assisted-GPS sensors and the extra software layers included in the experiments -- the results are coherent with what discussed here. Our model on the other side achieves more generality not being dependent on the specific implementation on the given device. Moreover it allows to look directly at what are the theoretical performances we should expect from a GPS sensor without the overhead that is introduced by the operative system of a smartphone.
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