# An Efficient Mobility Model for Improving Transmissions in Multi-UAVs Enabled WSNs
## 5 Performance Evaluations
\begin{table}
\begin{tabular}{l l l l l l} \hline \hline  & **Mean** & **Std. Dev.** & **Std. Error of Mean** & **Variance** & **Mode** & **Median** \\ \hline
**Coverage** & & & & & \\ \hline Proposed Approach & 67.37 & 30.81 & 3.25 & 949.56 & 100.00 & 73.50 \\ Random Waypoint & 63.90 & 28.88 & 3.04 & 833.89 & 89.00 & 79.00 \\ Random Walk & 65.88 & 27.70 & 2.92 & 767.32 & 90.00 & 79.00 \\ Fixed Maneuvers & 7.90 & 0.67 & 0.07 & 0.45 & 8.00 & 8.00 \\ Gauss–Markov & 43.99 & 16.91 & 1.78 & 285.90 & 59.00 & 51.00 \\ \hline \hline \multicolumn{4}{l}{**Data Transferred**} & & & & \\ \hline Proposed Approach & 411,306 & 195,463.9988 & 20,603.71362 & 3.82062 \(\times\) 10\({}^{10}\) & 632,340 & 432,540 \\ Random Waypoint & 369,756 & 164,153.46941 & 17,303.29497 & 2.69464 \(\times\) 10\({}^{10}\) & 511,920 & 453,060 \\ Random Walk & 371,694 & 155,860.53646 & 16,429.14309 & 2.42925 \(\times\) 10\({}^{10}\) & 508,680 & 443,340 \\ Fixed Maneuvers & 46,932 & 3952.15976 & 416.59422 & 1.56196 \(\times\) 10\({}^{7}\) & 47,520 & 47,520 \\ Gauss–Markov & 254,610 & 96,515.75736 & 10,173.65411 & 9.31529 \(\times\) 10\({}^{9}\) & 340,740 & 292,140 \\ \hline \hline \multicolumn{4}{l}{**Delay**} & & & & \\ \hline Proposed Approach & 0.01298 & \(4.3795\times 10^{-4}\) & \(4.61639\times 10^{-5}\) & \(1.918\times 10^{-7}\) & 0.01274 & 0.01306 \\ Random Waypoint & 0.19316 & 0.22999 & 0.02424 & 0.05289 & 0.09323 & 0.10398 \\ Random Walk & 0.61413 & 0.20325 & 0.02142 & 0.04131 & 0.51045 & 0.51045 \\ Fixed Maneuvers & 0.00208 & 0.0019 & \(1.998\times 10^{-4}\) & \(3.59281\times 10^{-6}\) & 0.00104 & 0.00117 \\ Gauss–Markov & 0.02259 & 0.01801 & 0.0019 & \(3.2448\times 10^{-4}\) & 0.0445 & 0.00903 \\ \hline \multicolumn{4}{l}{**End to End Delivery**} & & & \\ \hline Proposed Approach & 0.00694 & \(2.72533\times 10^{-4}\) & \(2.87275\times 10^{-5}\) & \(7.42745\times 10^{-8}\) & 0.00686 & 0.00688 \\ Random Waypoint & 0.12133 & 0.15818 & 0.01667 & 0.02502 & 0.05169 & 0.05744 \\ Random Walk & 0.36507 & 0.13633 & 0.01437 & 0.01859 & 0.29429 & 0.29429 \\ Fixed Maneuvers & 0.00619 & \(5.29694\times 10^{-5}\) & \(5.58346\times 10^{-6}\) & \(2.80575\times 10^{-9}\) & 0.00619 & 0.00619 \\ Gauss–Markov & 0.01914 & 0.0167 & 0.00176 & \(2.78986\times 10^{-4}\) & 0.03948 & 0.00578 \\ \hline \hline \multicolumn{4}{l}{**Jitter**} & & & \\ \hline Proposed Approach & 0.00624 & \(3.28373\times 10^{-4}\) & \(3.46136\times 10^{-5}\) & \(1.07829\times 10^{-7}\) & 0.00592 & 0.00626 \\ Random Waypoint & 0.09954 & 0.11881 & 0.01252 & 0.01412 & 0.04785 & 0.05345 \\ Random Walk & 0.34526 & 0.12074 & 0.01273 & 0.01458 & 0.27826 & 0.27826 \\ Fixed Maneuvers & \(9.41456\times 10^{-4}\) & \(8.51129\times 10^{-4}\) & \(8.97169\times 10^{-5}\) & \(7.2442\times 10^{-7}\) & \(4.69991\times 10^{-4}\) & \(5.31537\times 10^{-4}\) \\ Gauss–Markov & 0.01171 & 0.01022 & 0.00108 & \(1.04357\times 10^{-4}\) & 0.02414 & 0.0037 \\ \hline \hline \multicolumn{4}{l}{**Latency**} & & & \\ \hline Proposed Approach & 0.0881 & 0.00118 & \(1.24404\times 10^{-4}\) & \(1.39287\times 10^{-6}\) & 0.08839 & 0.08838 \\ Random Waypoint & 0.09936 & 0.01469 & 0.00155 & \(2.15671\times 10^{-4}\) & 0.09363 & 0.09363 \\ Random Walk & 0.09495 & 0.00311 & \(3.27508\times 10^{-4}\) & \(9.65355\times 10^{-6}\) & 0.09542 & 0.09542 \\ Fixed Maneuvers & 0.76525 & 0.32149 & 0.03389 & 0.10336 & \(1.04832\) & 0.92693 \\ Gauss–Markov & 0.13303 & 0.01287 & 0.00136 & \(1.65581\times 10^{-4}\) & 0.13934 & 0.13934 \\ \hline \hline \multicolumn{4}{l}{**Packet Drop**} & & & & \\ \hline Proposed Approach & 0.000 & 0.000 & 0.000 & 0.000 & 0.000 & 0.000 \\ Random Waypoint & 1.409 & 0.850 & 0.090 & 0.722 & 1.116 & 1.116 \\ Random Walk & 1.135 & 0.244 & 0.026 & 0.060 & 1.189 & 1.189 \\ Fixed Maneuvers & 9.280 & 1.733 & 0.183 & 3.002 & 10.232 & 10.095 \\ Gauss–Markov & 4.028 & 0.959 & 0.101 & 0.920 & 4.516 & 4.516 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Statistical variation among proposed and compared approaches.