\section{Problem Definition}

The high energy consumption in low signal strength areas has a negative impact on the battery life. 

%The increasing number of applications in need of network communication makes the energy consumption already an concern without the extra consumption in bad signal strength areas. 

To enable prediction of how the energy consumption is going to be there must be a set of data that describes the characteristics of all the interesting locations, a signal map.

The vision in this thesis is to estimate the energy consumption of the different areas in a map. In order to develop the signal map 3 different goals are identified:


\begin{enumerate}
%\item{The first challenge of this thesis is therefore to create a signal map that can be stored locally with characteristics that enable prediction of how the energy consumption is in all the measured locations.}

\item{Create a received signal map that can be stored locally. The signal map should provide \gls{rss} and data rate characteristics.}

\item{Develop and energy model using data rate and \gls{rss} as input to estimate the energy consumption of the different areas in the signal map.} 

%\item{Using the collected data points create a methodology to do data filtering and extraction of collected data.}

\item{Evaluate the signal map.}

\end{enumerate}
