diff --git a/paper/images/control1.png b/paper/images/control1.png new file mode 100644 index 0000000000000000000000000000000000000000..a9d3ecdcd885db943e776a7c672f4592ddd7e5f4 Binary files /dev/null and b/paper/images/control1.png differ diff --git a/paper/images/control2.png b/paper/images/control2.png new file mode 100644 index 0000000000000000000000000000000000000000..4da875aaaa934be616eb71351016a684d1288461 Binary files /dev/null and b/paper/images/control2.png differ diff --git a/paper/images/control3.png b/paper/images/control3.png new file mode 100644 index 0000000000000000000000000000000000000000..15e586c2d209991e4903c952fe7bb23c25758735 Binary files /dev/null and b/paper/images/control3.png differ diff --git a/paper/images/position1.png b/paper/images/position1.png new file mode 100644 index 0000000000000000000000000000000000000000..5e8d9d47fa1802f7cb01358522f508e9b012a40a Binary files /dev/null and b/paper/images/position1.png differ diff --git a/paper/images/position2.png b/paper/images/position2.png new file mode 100644 index 0000000000000000000000000000000000000000..7d3088e0ce73f37be66655b580529bfc56a6ce45 Binary files /dev/null and b/paper/images/position2.png differ diff --git a/paper/images/position3.png b/paper/images/position3.png new file mode 100644 index 0000000000000000000000000000000000000000..29a3efc26e0781fc0e851bb754cf9b964f30a63b Binary files /dev/null and b/paper/images/position3.png differ diff --git a/paper/sections/06-results.tex b/paper/sections/06-results.tex index 5a299750bc318e1dd2bcf4c1635627042c115328..1c004525326adcabefd8a842d762b879e2b33eca 100644 --- a/paper/sections/06-results.tex +++ b/paper/sections/06-results.tex @@ -43,9 +43,29 @@ Some previous works cited in section~\ref{sec:related} discuss the TTFF but none 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. +Next we want to show how our model captures the expiration of the ephemeris data and the loss of visibility or the satellites. Figure~\ref{fig:control2} and~\ref{fig:position2} shows a duty cycling of the sensor for quickly acquiring position -- wartm start. At time $t = 1860 sec$ the ephemeris data expire making the duty cycling ineffective. Only after a prolonged period being turne +------------------------------------------- + and a prolonged turn\_ON signal is required in order to update the ephemeris data and make available again the position. In figure~\ref{fig:control2} we can see the described turn\_ON signal while in~\ref{fig:position2} we can see the availability of the position measure. In this example the ephemeris data expire around time=1880 , we can see how the sampling suddently becomes uneffective and the position becomes available again only after around a minute in which it is continuously turned on and reads the ephemeris data. +\begin{figure}[h] + \begin{center} + \includegraphics[width=0.70\columnwidth]{images/control2.png} + \caption{Control signal for the antenna in the simulation of the expiration of ephemeris data. + \label{fig:control2} + } + \end{center} +\end{figure} +\begin{figure}[h] + \begin{center} + \includegraphics[width=0.70\columnwidth]{images/position2.png} + \caption{Availability of the position measure in the simulation of the expiration of ephemeris data. + \label{fig:position2} + } + \end{center} +\end{figure} +------------------------------------------- \subsection{Power Consumption Accuracy Trade Off} \label{sec:res:tradeoff}