An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes
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 g...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/24/8264 |
| _version_ | 1797500875345756160 |
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| author | Seung-Yeon Kim Yi-Kang Kim |
| author_facet | Seung-Yeon Kim Yi-Kang Kim |
| author_sort | Seung-Yeon Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T03:10:09Z |
| format | Article |
| id | doaj.art-e4183e127ae143cca82f5c97201e050d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:10:09Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e4183e127ae143cca82f5c97201e050d2023-11-23T10:29:07ZengMDPI AGSensors1424-82202021-12-012124826410.3390/s21248264An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground NodesSeung-Yeon Kim0Yi-Kang Kim1Department of Computer Convergence Software, Korea University, Sejong 30019, KoreaDepartment of Computer Convergence Software, Korea University, Sejong 30019, KoreaAn 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.https://www.mdpi.com/1424-8220/21/24/8264unmanned aerial vehicle (UAV)edge computingmobile ground node (MGN)energy efficiencyreliability |
| spellingShingle | Seung-Yeon Kim Yi-Kang Kim An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes Sensors unmanned aerial vehicle (UAV) edge computing mobile ground node (MGN) energy efficiency reliability |
| title | An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes |
| title_full | An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes |
| title_fullStr | An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes |
| title_full_unstemmed | An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes |
| title_short | An Energy Efficient UAV-Based Edge Computing System with Reliability Guarantee for Mobile Ground Nodes |
| title_sort | energy efficient uav based edge computing system with reliability guarantee for mobile ground nodes |
| topic | unmanned aerial vehicle (UAV) edge computing mobile ground node (MGN) energy efficiency reliability |
| url | https://www.mdpi.com/1424-8220/21/24/8264 |
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