UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios
文献类型：期刊论文
| 作者 | Liu, Jianli1,2,3; Liao, Xiaohan1,3; Ye, Huping1,3; Yue, Huanyin1,2,3; Wang, Yong1,3; Tan, Xiang1,4; Wang, Dongliang1,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 14期号:6页码:20 |
| 关键词 | emergency scenarios multiple UAVs UAV swarm remote sensing scheduling method particle swarm optimization |
| DOI | 10.3390/rs14061406 |
| 通讯作者 | Liao, Xiaohan(liaoxh@igsnrr.ac.cn) |
| 英文摘要 | Recently, unmanned aerial vehicle (UAV) remote sensing has been widely used in emergency scenarios; the operating mode has transitioned from one UAV to multiple UAVs. However, the current multiple-UAV remote sensing mode is characterized by high labor costs and limited operational capabilities; meanwhile, there is no suitable UAV swarm scheduling method that can be applied to remote sensing in emergency scenarios. To solve these problems, this study proposes a UAV swarm scheduling method. Firstly, the tasks were formulated and decomposed according to the data requirements and the maximum flight range of a UAV; then, the task sets were decomposed according to the maximum flight range of the UAV swarm to form task subsets; finally, aiming at the shortest total flight range of the task subsets and to balance the flight ranges of each UAV, taking the complete execution of the tasks as the constraint, the task allocation model was constructed, and the model was solved via a particle swarm optimization algorithm to obtain the UAV swarm scheduling scheme. Compared with the direct allocation method and the manual scheduling methods, the results show that the proposed method has high usability and efficiency. |
| WOS关键词 | MULTIPLE ; OPTIMIZATION ; ASSIGNMENT |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19050501] ; National Science and Technology Major Project of China's High Resolution Earth Observation System[21-Y20B01-9001-19/22] ; National Natural Science Foundation of China[41971359] ; National Natural Science Foundation of China[41501416] ; Scientific Instrument Developing Project of the Chinese Academy of Sciences[YJKYYQ20200010] ; National Key Research and Development Program of China[2017YFB0503005] ; Key Research and Development Program of Jiangxi province[20212BBG71008] ; Tianjin Intelligent Manufacturing Project: Technology of Intelligent Networking by Autonomous Control UAVs for Observation and Application[Tianjin-IMP-2] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000774618100001 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Science and Technology Major Project of China's High Resolution Earth Observation System ; National Natural Science Foundation of China ; Scientific Instrument Developing Project of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; Key Research and Development Program of Jiangxi province ; Tianjin Intelligent Manufacturing Project: Technology of Intelligent Networking by Autonomous Control UAVs for Observation and Application |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/173446]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liao, Xiaohan |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Inst UAV Applicat Res, Tianjin 301800, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Jiangxi U Fly Technol Corp, Jiujiang 332020, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Jianli,Liao, Xiaohan,Ye, Huping,et al. UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios[J]. REMOTE SENSING,2022,14(6):20. |
| APA | Liu, Jianli.,Liao, Xiaohan.,Ye, Huping.,Yue, Huanyin.,Wang, Yong.,...&Wang, Dongliang.(2022).UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios.REMOTE SENSING,14(6),20. |
| MLA | Liu, Jianli,et al."UAV Swarm Scheduling Method for Remote Sensing Observations during Emergency Scenarios".REMOTE SENSING 14.6(2022):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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