Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes

Authors
Kim, Seung-YeonKim, Yi-Kang
Issue Date
Dec-2021
Publisher
MDPI
Keywords
unmanned aerial vehicle (UAV); edge computing; mobile ground node (MGN); energy efficiency; reliability
Citation
SENSORS, v.21, no.24
Indexed
SCIE
SCOPUS
Journal Title
SENSORS
Volume
21
Number
24
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/135660
DOI
10.3390/s21248264
ISSN
1424-8220
1424-3210
Abstract
An edge computing system is a distributed computing framework that provides execution resources such as computation and storage for applications involving networking close to the end nodes. An unmanned aerial vehicle (UAV)-aided edge computing system can provide a flexible configuration for mobile ground nodes (MGN). However, edge computing systems still require higher guaranteed reliability for computational task completion and more efficient energy management before their widespread usage. To solve these problems, we propose an energy efficient UAV-based edge computing system with energy harvesting capability. In this system, the MGN makes requests for computing service from multiple UAVs, and geographically proximate UAVs determine whether or not to conduct the data processing in a distributed manner. To minimize the energy consumption of UAVs while maintaining a guaranteed level of reliability for task completion, we propose a stochastic game model with constraints for our proposed system. We apply a best response algorithm to obtain a multi-policy constrained Nash equilibrium. The results show that our system can achieve an improved life cycle compared to the individual computing scheme while maintaining a sufficient successful complete computation probability.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science and Technology > Department of Computer Convergence Software > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher KIM, SEUNG YEON photo

KIM, SEUNG YEON
College of Science and Technology (Department of Computer Convergence Software)
Read more

Altmetrics

Total Views & Downloads

BROWSE