X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/ThesisAli.git/blobdiff_plain/5206fb7212f724b5887553f7128e19122fc33719..122f699834a1e9b63e7af2425df524351f4055da:/CHAPITRE_02.tex?ds=sidebyside diff --git a/CHAPITRE_02.tex b/CHAPITRE_02.tex index 7b56933..b657f60 100755 --- a/CHAPITRE_02.tex +++ b/CHAPITRE_02.tex @@ -110,12 +110,12 @@ In \cite{GAF}, Xu et al. have described an algorithm, called Geographical Adapti \begin{figure}[h!] \centering -\includegraphics[scale=0.5]{Figures/ch2/GAF1.jpeg} +\includegraphics[scale=0.8]{Figures/ch2/GAF1.jpeg} \caption{ Example of fixed square grid in GAF.} \label{gaf1} \end{figure} -The fixed grid is defined where, each two adjacent grids, for example, A and B in figure\ref{gaf1}, all the sensor nodes inside A can communicate with sensor nodes inside B and vice versa. Therefore, all the sensor nodes are equivalent from the point of view the routing. The size of the fixed grid is based on the radio communication range $R_c$. It is supposed that the fixed grid is square with $r$ units on a side as shown in figure~\ref{gaf1}. The distance between the farthest two possible sensor nodes in two adjacent grid such as, B and C in figure~\ref{gaf1}, should not be greater than the radio communication range $R_c$ so as to satisfy the definition of fixed square grid. For instance, the sensor node \textbf{2} of grid B can communicate with the sensor node \textbf{5} of grid C. So, +The fixed grid is defined where, each two adjacent grids, for example, A and B in figure\ref{gaf1}, all the sensor nodes inside A can communicate with sensor nodes inside B and vice versa. Therefore, all the sensor nodes are equivalent from the point of view the routing. The size of the fixed grid is based on the radio communication range $R_c$. It is supposed that the fixed grid is square with $r$ units on a side as shown in figure~\ref{gaf1}. The distance between the farthest two possible sensor nodes in two adjacent grid such as, B and C in figure~\ref{gaf1}, should not be greater than the radio communication range $R_c$ so as to satisfy the definition of fixed square grid. For instance, the sensor node \textbf{2} of grid B can communicate with the sensor node \textbf{5} of grid C So, \begin{eqnarray} r^2 + \left(2r \right)^2 \leq R_c^2 @@ -129,7 +129,7 @@ The sensor nodes in GAF can be in one of the three states: active, sleep, or dis \begin{figure}[h!] \centering -\includegraphics[scale=0.5]{Figures/ch2/GAF2.jpeg} +\includegraphics[scale=0.8]{Figures/ch2/GAF2.jpeg} \caption{ Example of fixed square grid in GAF.} \label{gaf2} \end{figure} @@ -141,7 +141,7 @@ In~\cite{DESK}, the author have designed a novel distributed heuristic, called D \begin{figure}[h!] \centering -\includegraphics[scale=0.5]{Figures/ch2/DESK.jpeg} +\includegraphics[scale=0.6]{Figures/ch2/DESK.jpeg} \caption{ DESK network time line.} \label{desk} \end{figure}