Research Article
BA-CNN: Bat Algorithm-Based Convolutional Neural Network Algorithm for Ambulance Vehicle Routing in Smart Cities
Table 4
Comparative analysis of BA-CNN.
| Performances | Methods | Number of malicious nodes | 5 | 10 | 15 | 20 | 25 |
| PDF | TBM [44] | 0.61 | 0.46 | 0.41 | 0.35 | 0.26 | TVR [45] | 0.83 | 0.79 | 0.73 | 0.72 | 0.63 | SAODV [46] | 0.80 | 0.68 | 0.62 | 0.59 | 0.55 | BA-CNN | 0.96 | 0.90 | 0.89 | 0.83 | 0.76 |
| Throughput (kbps) | TBM [44] | 148 | 159 | 150 | 146 | 122 | TVR [45] | 153 | 163 | 168 | 157 | 148 | SAODV [46] | 149 | 161 | 161 | 150 | 139 | BA-CNN | 161 | 173 | 175 | 162 | 158 |
| Routing load | TBM [44] | 0.1 | 0.28 | 0.78 | 1.19 | 1.05 | TVR [45] | 0.08 | 0.15 | 0.62 | 1.01 | 0.9 | SAODV [46] | 0.1 | 0.21 | 0.71 | 1.15 | 1.00 | BA-CNN | 0.05 | 0.10 | 0.34 | 0.87 | 0.95 |
| EED (s) | TBM [44] | 0.110 | 0.110 | 0.135 | 0.151 | 0.180 | TVR [45] | 0.090 | 0.100 | 0.124 | 0.147 | 0.150 | SAODV [46] | 0.090 | 0.130 | 0.130 | 0.150 | 0.162 | BA-CNN | 0.005 | 0.019 | 0.100 | 0.109 | 0.110 |
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