Research Article
Lightweight APIT with Bat Optimization with Simulated Annealing Localization for Resource-Constrained Sensor Networks
1. Objective function is | 2. Initialize Bat where and | 3. Define the pulse frequency at various Bat population values | 4. Initialize rate and loudness | 5. While | 6. Adjust frequency and generate new set of solutions | 7. Update new velocity and location | 8. If | 9. Select the best solution among the available solution set | 10. Generate the local solution around the best solution set | 11. End if | 12. Generate a new solution by a random fly | 13. If and | 14. Accept the new solution | 15. Increase the value of and reduce the value of | 16. End if | 17. Rank the Bat solution and find out the current best solution | 18. End while | 19. Post process results and its visualization |
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