Abstract
The present paper proposes a novel algorithm with the highest accuracy and efficiency for resource allocation in the IoT, considering the fog computing technique. To meet the need for resource allocation, including central processing unit, bandwidth, and main memory, the Genetic Algorithm, Particle Swarm Optimization, Adaptive Weighted Particle Swarm Optimization, Crystal Structure Algorithm, and Simulated Annealing were examined. The obtained results emphasize the better performance of Simulated Annealing compared to the rest. The findings of this paper can benefit optimizing the tasks migration in internet of things. The major innovation of this research lies in the heart of the comparison made between the selected algorithms to see which one conducted the migration tasks with the highest accuracy and remarkable convergence rate.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Computers and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
