Research Article
A Dynamic Task Scheduling Algorithm for Airborne Device Clouds
Table 1
Testing the parameters of the initial task scheduling algorithm based on the genetic algorithm.
| No. | PXOVER | PMUTATION | Time (s) | Energy (J) |
| 1 | 0.8 | 0.1 | 371 | 540 | 2 | 0.8 | 0.2 | 418 | 552 | 3 | 0.8 | 0.3 | 461 | 596 | 4 | 0.8 | 0.4 | 483 | 733 | 5 | 0.7 | 0.1 | 323 | 668 | 6 | 0.7 | 0.2 | 341 | 661 | 7 | 0.7 | 0.3 | 351 | 651 | 8 | 0.7 | 0.4 | 412 | 597 | 9 | 0.6 | 0.1 | 358 | 565 | 10 | 0.6 | 0.2 | 333 | 580 | 11 | 0.6 | 0.3 | 346 | 600 | 12 | 0.6 | 0.4 | 427 | 635 |
|
|