UAV Swarm Resilience Assessment Considering Load Balancing
UAV swarm are often subjected to random interference or malicious attacks during the execution of their tasks, resulting in UAV failure or communication interruption. When the UAV swarm is out of interference or the repair command is executed, the performance of the UAV swarm will be restored to a c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-01-01
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| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2022.821321/full |
| _version_ | 1828136825354452992 |
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| author | Pengtao Zhang Tao Wu Tao Wu Runhua Cao Zi Li Jiwei Xu |
| author_facet | Pengtao Zhang Tao Wu Tao Wu Runhua Cao Zi Li Jiwei Xu |
| author_sort | Pengtao Zhang |
| collection | DOAJ |
| description | UAV swarm are often subjected to random interference or malicious attacks during the execution of their tasks, resulting in UAV failure or communication interruption. When the UAV swarm is out of interference or the repair command is executed, the performance of the UAV swarm will be restored to a certain extent. However, how to measure the changes of UAV swarm’s performance during this process will be very important, and it is also crucial to determine whether the UAVs can continue to perform its mission. Based on this motivation, we propose a resilience assessment framework for UAV swarm considering load balancing after UAV swarm suffer from disturbances. We analyze the effects of different topologies and different parameters on the resilience of UAV swarm. The study found that attack intensity is the most important factor affecting UAV swarm performance. As the attack intensity increases, the performance of the UAV swarm decreases rapidly. At the same time, topology also has a very important impact on UAV swarm resilience. |
| first_indexed | 2024-04-11T18:09:57Z |
| format | Article |
| id | doaj.art-a473948301364e5eab1e592fde67741d |
| institution | Directory Open Access Journal |
| issn | 2296-424X |
| language | English |
| last_indexed | 2024-04-11T18:09:57Z |
| publishDate | 2022-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj.art-a473948301364e5eab1e592fde67741d2022-12-22T04:10:09ZengFrontiers Media S.A.Frontiers in Physics2296-424X2022-01-011010.3389/fphy.2022.821321821321UAV Swarm Resilience Assessment Considering Load BalancingPengtao Zhang0Tao Wu1Tao Wu2Runhua Cao3Zi Li4Jiwei Xu5Equipment Management and UAV Engineering College, Air Force Engineering University, Xi’an, ChinaEquipment Management and UAV Engineering College, Air Force Engineering University, Xi’an, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an, ChinaSchool of Automation, Northwestern Polytechnical University, Xi’an, ChinaXinjiang Institute of Engineering, Urumqi, ChinaSchool of Cyberspace Security, Xi’an University of Posts and Telecommunications, Xi’an, ChinaUAV swarm are often subjected to random interference or malicious attacks during the execution of their tasks, resulting in UAV failure or communication interruption. When the UAV swarm is out of interference or the repair command is executed, the performance of the UAV swarm will be restored to a certain extent. However, how to measure the changes of UAV swarm’s performance during this process will be very important, and it is also crucial to determine whether the UAVs can continue to perform its mission. Based on this motivation, we propose a resilience assessment framework for UAV swarm considering load balancing after UAV swarm suffer from disturbances. We analyze the effects of different topologies and different parameters on the resilience of UAV swarm. The study found that attack intensity is the most important factor affecting UAV swarm performance. As the attack intensity increases, the performance of the UAV swarm decreases rapidly. At the same time, topology also has a very important impact on UAV swarm resilience.https://www.frontiersin.org/articles/10.3389/fphy.2022.821321/fullresiliencenetworksUAV swarmload balancingmalicious attacks |
| spellingShingle | Pengtao Zhang Tao Wu Tao Wu Runhua Cao Zi Li Jiwei Xu UAV Swarm Resilience Assessment Considering Load Balancing Frontiers in Physics resilience networks UAV swarm load balancing malicious attacks |
| title | UAV Swarm Resilience Assessment Considering Load Balancing |
| title_full | UAV Swarm Resilience Assessment Considering Load Balancing |
| title_fullStr | UAV Swarm Resilience Assessment Considering Load Balancing |
| title_full_unstemmed | UAV Swarm Resilience Assessment Considering Load Balancing |
| title_short | UAV Swarm Resilience Assessment Considering Load Balancing |
| title_sort | uav swarm resilience assessment considering load balancing |
| topic | resilience networks UAV swarm load balancing malicious attacks |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2022.821321/full |
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