## 3 The Proposed Model
### Design of WMAO Algorithm
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multicolumn{6}{c}{**Alive Nodes**} \\ \hline
**Rounds** & **WMAO-EAR** & **CE-EC** & **SEED** & **NEH-CP** & **HCEHUC** \\ \hline \multicolumn{6}{c}{**Nodes = 100**} \\ \hline
0 & 100 & 100 & 100 & 100 & 100 \\ \hline
500 & 100 & 100 & 100 & 100 & 99 \\ \hline
1000 & 100 & 100 & 100 & 98 & 99 \\ \hline
1500 & 99 & 99 & 98 & 94 & 89 \\ \hline
2000 & 99 & 98 & 93 & 79 & 56 \\ \hline
2500 & 98 & 97 & 78 & 46 & 19 \\ \hline
3000 & 95 & 92 & 59 & 29 & 0 \\ \hline
3500 & 89 & 85 & 37 & 15 & 0 \\ \hline
4000 & 76 & 72 & 25 & 6 & 0 \\ \hline
4500 & 52 & 47 & 10 & 0 & 0 \\ \hline
5000 & 24 & 20 & 2 & 0 & 0 \\ \hline
5500 & 0 & 0 & 0 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: NOAN analysis of WMAO-EAR approach with existing algorithms under NC of 100 and 300. Figure 6: EU analysis of WMAO-EAR approach under NC of 300. Figure 8 illustrates the comparative NOAN study of the WMAO-EAR approach. With 2000 rounds, the NOAN 300 rendered by the WMAO-EAR technique is 300, whereas the CE-EC, SEED, NEH-CP, and HCEHUC methods attained reduced NOAN of 295, 277, 257, and 216, respectively. With 2500 rounds, the NOAN granted by the WMAO-EAR model is 298, whereas the CE-EC, SEED, NEH-CP, and HCEHUC approaches achieved reduced NOAN of 282, 256, 203, and 142, respectively. With 3000 rounds, the NOAN offered by the WMAO-EAR method is 281, whereas the CE-EC, SEED, NEH-CP, and HCEHUC models attained reduced NOAN of 259, 240, 142, and 69, respectively. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & \multicolumn{6}{c}{**Alive Nodes**} \\ \hline
**Rounds** & **WMAO-EAR** & **CE-EC** & **SEED** & **NEH-CP** & **HCEHUC** \\ \hline \multicolumn{6}{c}{**Nodes = 300**} \\ \hline
0 & 300 & 300 & 300 & 300 & 300 \\ \hline
500 & 300 & 300 & 300 & 297 & 295 \\ \hline
1000 & 300 & 300 & 300 & 298 & 293 \\ \hline
1500 & 300 & 298 & 286 & 288 & 258 \\ \hline
2000 & 300 & 295 & 277 & 257 & 216 \\ \hline
2500 & 298 & 282 & 256 & 203 & 142 \\ \hline
3000 & 281 & 259 & 240 & 142 & 69 \\ \hline
3500 & 266 & 227 & 215 & 92 & 30 \\ \hline
4000 & 224 & 160 & 114 & 46 & 11 \\ \hline
4500 & 171 & 108 & 57 & 14 & 0 \\ \hline
5000 & 115 & 45 & 29 & 0 & 0 \\ \hline
5500 & 0 & 0 & 0 & 0 & 0 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: _Cont._

Figure 7: NOAN analysis of WMAO-EAR approach under NC of 100. A comparative NODN assessment of the WMAO-EAR model with other models is provided in Table 4. Figure 9 illustrates a detailed NODN investigation of the WMAO-EAR model with other approaches. The outcomes indicated that the WMAO-EAR method reached maximum outcome with minimal NODN values. For example, with 2000 rounds, the WMAO-EAR model gained a lower NODN of 1, whereas the CE-EC, SEED, NEH-CP, and HCEHUC models attained higher NODN of 2, 7, 21, and 44, respectively. Finally, with 3000 rounds, the WMAO-EAR method gained a lower NODN of 5, whereas the CE-EC, SEED, NEH-CP, and HCEHUC approaches attained higher NODN of 8, 41, 71, and 100, respectively. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline  & \multicolumn{5}{c}{**Dead Nodes**} \\ \hline
**Rounds** & **WMAO-EAR** & **HCEHUC** & **NEH-CP** & **SEED** & **CE-EC** \\ \hline \multicolumn{5}{c}{**Nodes = 100**} \\ \hline
500 & 0 & 0 & 0 & 0 & 1 \\ \hline
1000 & 0 & 0 & 0 & 2 & 1 \\ \hline
1500 & 1 & 1 & 2 & 6 & 11 \\ \hline
2000 & 1 & 2 & 7 & 21 & 44 \\ \hline
2500 & 2 & 3 & 22 & 54 & 81 \\ \hline
3000 & 5 & 8 & 41 & 71 & 100 \\ \hline
3500 & 11 & 15 & 63 & 85 & 100 \\ \hline
4000 & 24 & 28 & 75 & 94 & 100 \\ \hline
4500 & 48 & 53 & 90 & 100 & 100 \\ \hline
5000 & 76 & 80 & 98 & 100 & 100 \\ \hline
5500 & 100 & 100 & 100 & 100 & 100 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: NODN analysis of WMAO-EAR approach with existing algorithms under NC of 100 and 300. Figure 8: NOAN analysis of WMAO-EAR approach under NC of 300. Figure 10 illustrates a comprehensive NODN investigation of the WMAO-EAR technique with other models. The outcomes show that the WMAO-EAR approach attained maximum outcome with minimal NODN values.