# Energy-Efficient Fuzzy Management System for Internet of Things Connected Vehicular Ad Hoc Networks
## 6 Performance Results
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Rule** & **Distance** & **Speed** & **LRT** & \
\begin{tabular}{c} **Packet Ad-** \\ **vancement** \\ \end{tabular} &
\begin{tabular}{c} **Number of** \\ **Duplicate** \\ **Packets** \\ \end{tabular} & **Density** & **Rank** \\ \hline R1 & Less & Slow & Poor & Close & Low & Low & Accept \\ \hline R2 & Less & Slow & Average & Close & Medium & Low & Accept \\ \hline R3 & Less & Slow & Good & Close & High & Low & Highly \\ \hline R4 & Medium & Slow & Poor & Close & Low & Medium & Reject \\ \hline R5 & Medium & Slow & Average & Close & Medium & Medium & Accept \\ \hline R6 & Medium & Slow & Good & Close & High & Medium & Accept \\ \hline R7 & High & Slow & Poor & Close & Low & High & Reject \\ \hline R8 & High & Slow & Average & Close & Medium & High & Reject \\ \hline R9 & High & Slow & Good & Close & High & High & Accept \\ \hline R10 & Less & Medium & Poor & Intermediate & Low & Low & Accept \\ \hline R11 & Less & Medium & Average & Intermediate & Medium & Low & Highly \\ \hline R12 & Less & Medium & Good & Intermediate & High & Low & Reject \\ \hline R13 & Medium & Medium & Poor & Intermediate & Low & Medium & Accept \\ \hline R14 & Medium & Medium & Average & Intermediate & Medium & Medium & Accept \\ \hline R15 & Medium & Medium & Good & Intermediate & High & Medium & Reject \\ \hline R16 & High & Medium & Poor & Intermediate & Low & High & Reject \\ \hline R17 & High & Medium & Average & Intermediate & Medium & High & Accept \\ \hline R18 & High & Medium & Good & Intermediate & High & High & Accept \\ \hline R19 & Less & Fast & Poor & Far & Low & Low & Highly \\ \hline R20 & Less & Fast & Average & Far & Medium & Low & Accept \\ \hline R21 & Less & Fast & Good & Far & High & Low & Accept \\ \hline R22 & Medium & Fast & Poor & Far & Low & Medium & Highly \\ \hline R23 & Medium & Fast & Average & Far & Medium & Medium & Reject \\ \hline R24 & Medium & Fast & Good & Far & High & Medium & Accept \\ \hline R25 & High & Fast & Poor & Far & Low & High & Accept \\ \hline R26 & High & Fast & Average & Far & Medium & High & Reject \\ \hline R27 & High & Fast & Good & Far & High & High & Reject \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Fuzzy logic rules. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Vehicle Speed** & **TTL [7]** & **TTL (Proposed Method)** \\ \hline
10 & 0.6077 & 0.5492 \\ \hline
30 & 2.5187 & 2.0478 \\ \hline
50 & 3.1092 & 3.1579 \\ \hline
80 & 3.9972 & 3.3497 \\ \hline
100 & 4.5277 & 3.6837 \\ \hline
120 & 4.8231 & 4.1938 \\ \hline
150 & 5.2098 & 4.3423 \\ \hline
180 & 5.5974 & 4.7647 \\ \hline
200 & 6.0973 & 5.0742 \\ \hline
220 & 6.7814 & 5.5491 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Time to Live (TTL), in seconds. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Vehicle Speed** & **Overhead [7]** & **Overhead (Proposed Method)** \\ \hline
10 & 3.0005 & 2.0007 \\ \hline
30 & 4.5145 & 2.9005 \\ \hline
50 & 5.6457 & 3.4578 \\ \hline
80 & 7.6654 & 5.6700 \\ \hline
100 & 9.5287 & 8.5550 \\ \hline
120 & 11.8322 & 10.2301 \\ \hline
150 & 15.6548 & 14.2305 \\ \hline
180 & 17.7630 & 15.7843 \\ \hline
200 & 21.3064 & 16.6897 \\ \hline
220 & 22.6530 & 18.4601 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Overhead. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Vehicle Speed** & **Aggregation [7]** & **Aggregation (Proposed Method)** \\ \hline
10 & 0.6788 & 0.3457 \\ \hline
30 & 1.2397 & 0.5543 \\ \hline
50 & 1.6867 & 0.8856 \\ \hline
80 & 1.9788 & 1.0657 \\ \hline
100 & 2.0227 & 1.3887 \\ \hline
120 & 3.4229 & 2.1974 \\ \hline
150 & 4.2547 & 2.2647 \\ \hline
180 & 4.6934 & 2.597  
(3) Time to Live  
A mechanism which limits this lifecycle and duration of facts during computer network is known as TTL (Time to Live). This Time to Live is also considered as timestamp embedded and mounted on this data. When the feature called timestamp is elapsed then the data details are automatically discarded.