An effective trajectory planning heuristics for UAV-assisted vessel monitoring system
文献类型：期刊论文
| 作者 | Zhu, Jie1,2,3; Guo, Kaiyu1,2; He, Pengfei1,2; Huang, Haiping1,2,3; Malekian, Reza4; Sun, Yuzhong3 |
| 刊名 | PEER-TO-PEER NETWORKING AND APPLICATIONS
 |
| 出版日期 | 2024-05-22 |
| 页码 | 16 |
| 关键词 | UAV Heuristic algorithm Lin-Kernighan-Helsgaun Pollution detection Trajectory planning |
| ISSN号 | 1936-6442 |
| DOI | 10.1007/s12083-024-01730-x |
| 英文摘要 | Due to the high mobility of Unmanned Aerial Vehicle (UAV), it can be an effective method for pollution detection of vessels on the sea. How to optimize the flight path of the UAV so that the visited energy consumption is minimized is a problem that remains to be solved. In this paper, the Lin-Kernighan-Helsgaun-based trajectory planning method (LKH-TPM) is used to solve the UAV scheduling problem to minimize the UAV visit path length and compare it with the ant colony (ACO) algorithm, simulated annealing (SA) algorithm and tabu search (TS) algorithm. The experiments are carried out under different ship numbers, different sea areas, and different base station numbers, and it is verified that LKH-TPM is a more effective solution for the problem under study. |
| 资助项目 | National Natural Science Foundation Project of China |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001229249200002 |
| 出版者 | SPRINGER |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/40078]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Huang, Haiping |
| 作者单位 | 1.Nanjing Univ Posts & Telecommun, Sch Comp Sci, Nanjing 210023, Peoples R China 2.Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor N, Nanjing 210023, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Chinese Comp Architecture, Beijing 100864, Peoples R China 4.Malmo Univ, Comp Sci & Media Technol Malmo Univ, S-20526 Malmo, Sweden |
| 推荐引用方式 GB/T 7714 | Zhu, Jie,Guo, Kaiyu,He, Pengfei,et al. An effective trajectory planning heuristics for UAV-assisted vessel monitoring system[J]. PEER-TO-PEER NETWORKING AND APPLICATIONS,2024:16. |
| APA | Zhu, Jie,Guo, Kaiyu,He, Pengfei,Huang, Haiping,Malekian, Reza,&Sun, Yuzhong.(2024).An effective trajectory planning heuristics for UAV-assisted vessel monitoring system.PEER-TO-PEER NETWORKING AND APPLICATIONS,16. |
| MLA | Zhu, Jie,et al."An effective trajectory planning heuristics for UAV-assisted vessel monitoring system".PEER-TO-PEER NETWORKING AND APPLICATIONS (2024):16. |
入库方式： OAI收割
来源：计算技术研究所
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