Run experiment again to correct ns-3 application delay

1 files changed, 17 insertions, 17 deletions

diff --git a/2019-ICA3PP.org b/2019-ICA3PP.org
index 4bfdf5d..e92e43c 100644
--- a/2019-ICA3PP.org
+++ b/2019-ICA3PP.org
@@ -413,15 +413,15 @@ part and the cloud part, as displayed on Figure \ref{fig:parts}.
 In this section, we analyze the experimental results.
 
 ** IoT and Network Power Consumption
-   In a first place, we start by studying the impact of the sensors'
-   transmission frequency on their energy
-   consumption. To this end, we run several simulations in ns3 with 15 sensors using different transmission frequencies. The
-   results provided by Table \ref{tab:sensorsSendIntervalEffects} show
-   that the transmission frequency has a very low impact
-   on the energy consumption and on the cumulative end-to-end application delay. It has an impact of course, but it is very
-   limited. This due to the fact that in such a scenario with very small number of communications
-   spread over the time, sensors don't have to contend for accessing to the Wifi channel.
- 
+   In a first place, we start by studying the impact of the sensors' transmission frequency on their
+   energy consumption. To this end, we run several simulations in ns3 with 15 sensors using
+   different transmission frequencies. The results provided by Table
+   \ref{tab:sensorsSendIntervalEffects} show that the transmission frequency has a very low impact
+   on the energy consumption and on the average end-to-end application delay. It has an impact of
+   course, but it is very limited. This due to the fact that in such a scenario with very small
+   number of communications spread over the time, sensors don't have to contend for accessing to the
+   Wifi channel.
+   
    #+BEGIN_EXPORT latex
    % Please add the following required packages to your document preamble:
    % \usepackage{booktabs}
@@ -431,10 +431,10 @@ In this section, we analyze the experimental results.
    \label{tab:sensorsSendIntervalEffects}
    \begin{tabular}{@{}lrrrrr@{}}
    \toprule
-   Sensors Send Interval        & 10s      & 30s      & 50s      & 70s      & 90s      \\ \midrule
+   Sensors Send Interval        & 10s            & 30s            & 50s       & 70s       & 90s      \\ \midrule
    Sensors Power Consumption    & 13.517\hl{94}W & 13.517\hl{67}W & 13.51767W & 13.51767W & 13.517\hl{61}W \\
    Network Power Consumption    & 10.441\hl{78}W & 10.441\hl{67}W & 10.44161W & 10.44161W & 10.441\hl{61}W \\
-   Cumulative Application Delay & 17.81360s & 5.91265s  & 3.53509s  & 2.55086s  & 1.93848s  \\ \bottomrule
+   End-to-end Application Delay & 0.09951s       & 0.10021s       & 0.10100s  & 0.10203s  & 0.10202s  \\ \bottomrule
    \end{tabular}
    \end{table*}
    #+END_EXPORT
@@ -845,7 +845,7 @@ applicability of our model.
 
 
    
-   
+      
 *** Plot Scripts
 **** Random R Scripts
 
@@ -864,11 +864,11 @@ applicability of our model.
     #+END_SRC
 
     #+RESULTS:
-    :                         [,1]     [,2]     [,3]     [,4]     [,5]
-    : sensorsSendInterval 10.00000 30.00000 50.00000 70.00000 90.00000
-    : sensorsEnergy       13.51794 13.51767 13.51767 13.51767 13.51761
-    : networkEnergy       10.44178 10.44167 10.44161 10.44161 10.44161
-    : avgDelay            17.81360  5.91265  3.53509  2.55086  1.93848
+    :                           [,1]      [,2]      [,3]      [,4]      [,5]
+    : sensorsSendInterval 10.0000000 30.000000 50.000000 70.000000 90.000000
+    : sensorsEnergy       13.5179444 13.517667 13.517667 13.517667 13.517611
+    : networkEnergy       10.4417825 10.441668 10.441612 10.441612 10.441612
+    : avgDelay             0.0995173  0.100214  0.101002  0.102034  0.102025