Automatic Path Planning Offloading Mechanism in Edge-Enabled Environments
Dušan Herich,
Ján Vaščák,
Iveta Zolotová and
Alexander Brecko
Additional contact information
Dušan Herich: Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Vysokoškolská 4, 042 00 Košice, Slovakia
Ján Vaščák: Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Vysokoškolská 4, 042 00 Košice, Slovakia
Iveta Zolotová: Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Vysokoškolská 4, 042 00 Košice, Slovakia
Alexander Brecko: Department of Cybernetics and Artificial Intelligence, Technical University of Košice, Vysokoškolská 4, 042 00 Košice, Slovakia
Mathematics, 2021, vol. 9, issue 23, 1-25
Abstract:
The utilization of edge-enabled cloud computing in unmanned aerial vehicles has facilitated advances in autonomous control by employing computationally intensive algorithms frequently related to traversal among different locations in an environment. A significant problem remains in designing an effective strategy to offload tasks from the edge to the cloud. This work focuses on creating such a strategy by employing a network evaluation method built on the mean opinion score metrics in concoction with machine learning algorithms for path length prediction to assess computational complexity and classification models to perform an offloading decision on the data provided by both network metrics and solution depth prediction. The proposed system is applied to the A* path planning algorithm, and the presented results demonstrate up to 94% accuracy in offloading decisions.
Keywords: edge and cloud computing; k-nearest neighbors; logistic regression; offloading; path planning; UAV (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/9/23/3117/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/23/3117/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:23:p:3117-:d:694138
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().