Research Article
Salp Swarm Algorithm for Node Localization in Wireless Sensor Networks
Table 2
Performance metrics of different localization algorithms.
| Target nodes | Anchor nodes | No. of iterations | PSO | BOA | FA | GWO | SSA | EL(m) | T(s) | NL | EL(m) | T(s) | NL | EL(m) | T(s) | NL | EL(m) | T(s) | NL | EL(m) | T(s) | NL |
| 25 | 10 | 25 | 0.818 | 0.40 | 16 | 0.232 | 0.37 | 22 | 0.265 | 0.6 | 19 | 0.744 | 0.22 | 20 | 0.465 | 0.35 | 22 | 50 | 0.812 | 0.40 | 15 | 0.225 | 0.38 | 23 | 0.262 | 1.2 | 20 | 0.741 | 0.41 | 21 | 0.462 | 0.35 | 23 | 75 | 0.803 | 0.41 | 18 | 0.223 | 0.39 | 25 | 0.258 | 1.5 | 21 | 0.741 | 0.54 | 21 | 0.458 | 0.36 | 23 | 100 | 0.792 | 0.41 | 18 | 0.221 | 0.40 | 25 | 0.251 | 1.8 | 19 | 0.740 | 0.79 | 23 | 0.451 | 0.37 | 24 |
| 50 | 15 | 25 | 0.419 | 0.71 | 41 | 0.338 | 0.84 | 47 | 0.477 | 1.6 | 46 | 0.690 | 0.42 | 44 | 0.477 | 0.67 | 43 | 50 | 0.426 | 0.73 | 47 | 0.332 | 0.85 | 48 | 0.473 | 1.9 | 49 | 0.688 | 0.63 | 45 | 0.472 | 0.69 | 47 | 75 | 0.429 | 0.76 | 46 | 0.326 | 0.86 | 49 | 0.465 | 2.5 | 49 | 0.686 | 0.81 | 46 | 0.468 | 0.69 | 48 | 100 | 0.434 | 0.76 | 48 | 0.323 | 0.86 | 49 | 0.465 | 3.5 | 48 | 0.682 | 0.98 | 48 | 0.464 | 0.70 | 50 |
| 75 | 20 | 25 | 0.735 | 1.31 | 73 | 0.257 | 1.49 | 66 | 0.519 | 2.9 | 71 | 0.641 | 0.72 | 72 | 0.519 | 0.90 | 69 | 50 | 0.728 | 1.32 | 74 | 0.257 | 1.49 | 66 | 0.513 | 3.8 | 72 | 0.641 | 0.95 | 72 | 0.513 | 0.92 | 72 | 75 | 0.728 | 1.33 | 74 | 0.255 | 1.50 | 70 | 0.504 | 4.7 | 73 | 0.638 | 1.3 | 73 | 0.504 | 0.95 | 73 | 100 | 0.724 | 1.35 | 75 | 0.253 | 1.52 | 72 | 0.503 | 5.2 | 73 | 0.635 | 1.4 | 74 | 0.503 | 0.96 | 75 |
| 100 | 25 | 25 | 0.661 | 2.10 | 97 | 0.355 | 2.40 | 97 | 0.711 | 3.8 | 98 | 0.611 | 1.1 | 95 | 0.511 | 1.31 | 98 | 50 | 0.658 | 2.16 | 97 | 0.355 | 2.44 | 99 | 0.709 | 4.2 | 98 | 0.606 | 1.5 | 97 | 0.509 | 1.33 | 98 | 75 | 0.642 | 2.17 | 99 | 0.333 | 2.47 | 100 | 0.702 | 5.6 | 99 | 0.602 | 1.8 | 98 | 0.502 | 1.36 | 99 | 100 | 0.641 | 2.20 | 100 | 0.331 | 2.50 | 100 | 0.704 | 6.3 | 98 | 0.602 | 2.1 | 98 | 0.504 | 1.37 | 100 |
| 125 | 30 | 25 | 0.754 | 4.87 | 120 | 0.549 | 3.84 | 122 | 0.829 | 2.7 | 122 | 0.589 | 1.5 | 122 | 0.529 | 1.67 | 123 | 50 | 0.748 | 4.86 | 121 | 0.548 | 3.85 | 123 | 0.824 | 4.5 | 123 | 0.580 | 2.2 | 123 | 0.524 | 1.68 | 124 | 75 | 0.750 | 4.89 | 122 | 0.534 | 3.86 | 124 | 0.822 | 5.9 | 125 | 0.580 | 2.8 | 123 | 0.522 | 1.70 | 125 | 100 | 0.752 | 4.95 | 125 | 0.534 | 3.89 | 124 | 0.822 | 6.5 | 124 | 0.572 | 3.3 | 125 | 0.522 | 1.72 | 125 |
| 150 | 35 | 25 | 0.625 | 5.41 | 145 | 0.766 | 5.88 | 147 | 0.911 | 2.5 | 149 | 0.559 | 2.8 | 148 | 0.511 | 2.12 | 149 | 50 | 0.622 | 5.42 | 146 | 0.765 | 5.61 | 148 | 0.909 | 4.2 | 150 | 0.547 | 3.6 | 149 | 0.509 | 2.14 | 149 | 75 | 0.619 | 5.44 | 148 | 0.763 | 5.64 | 149 | 0.904 | 6.4 | 150 | 0.523 | 4.3 | 150 | 0.504 | 2.16 | 150 | 100 | 0.616 | 5.45 | 150 | 0.763 | 5.69 | 149 | 0.904 | 7.2 | 149 | 0.523 | 4.8 | 150 | 0.504 | 2.18 | 150 |
|
|