An effective trajectory planning heuristics for UAV-assisted vessel monitoring system

doi:10.1007/s12083-024-01730-x

	An effective trajectory planning heuristics for UAV-assisted vessel monitoring system
	Zhu, Jie 1,2,3; Guo, Kaiyu 1,2; He, Pengfei 1,2; Huang, Haiping 1,2,3; Malekian, Reza 4; Sun, Yuzhong 3
	2024-05-22
发表期刊	PEER-TO-PEER NETWORKING AND APPLICATIONS
ISSN	1936-6442
页码	16
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.
关键词	UAV Heuristic algorithm Lin-Kernighan-Helsgaun Pollution detection Trajectory planning
DOI	10.1007/s12083-024-01730-x
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation Project of China
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:001229249200002
出版者	SPRINGER
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/40079
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.