干旱区生态环境知识资源中心(Arid): Energy-Aware Dynamic 3D Placement of Multi-Drone Sensing Fleet

Arid

DOI	10.3390/s21082622
	Energy-Aware Dynamic 3D Placement of Multi-Drone Sensing Fleet
	Luo, Yawen; Chen, Yuhua
通讯作者	Luo, YW (corresponding author), Univ Houston, Dept Elect & Comp Engn, Houston, TX 77204 USA.
来源期刊	SENSORS
EISSN	1424-8220
出版年	2021
卷号	21 期号:8
英文摘要	Unmanned Aerial Vehicles (UAVs, also known as drones) have become increasingly appealing with various applications and services over the past years. Drone-based remote sensing has shown its unique advantages in collecting ground-truth and real-time data due to their affordable costs and relative ease of operability. This paper presents a 3D placement scheme for multi-drone sensing/monitoring platforms, where a fleet of drones are sent for conducting a mission in a given area. It can range from environmental monitoring of forestry, survivors searching in a disaster zone to exploring remote regions such as deserts and mountains. The proposed drone placing algorithm covers the entire region without dead zones while minimizing the number of cooperating drones deployed. Naturally, drones have limited battery supplies which need to cover mechanical motions, message transmissions and data calculation. Consequently, the drone energy model is explicitly investigated and dynamic adjustments are deployed on drone locations. The proposed drone placement algorithm is 3D landscaping-aware and it takes the line-of-sight into account. The energy model considers inter-communications within drones. The algorithm not only minimizes the overall energy consumption, but also maximizes the whole drone team's lifetime in situations where no power recharging facilities are available in remote/rural areas. Simulations show the proposed placement scheme has significantly prolonged the lifetime of the drone fleet with the least number of drones deployed under various complex terrains.
英文关键词	3D placement coverage problem terrains drone remote sensing energy efficiency
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000644820400001
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351766
作者单位	[Luo, Yawen; Chen, Yuhua] Univ Houston, Dept Elect & Comp Engn, Houston, TX 77204 USA
推荐引用方式 GB/T 7714	Luo, Yawen,Chen, Yuhua. Energy-Aware Dynamic 3D Placement of Multi-Drone Sensing Fleet[J],2021,21(8).
APA	Luo, Yawen,&Chen, Yuhua.(2021).Energy-Aware Dynamic 3D Placement of Multi-Drone Sensing Fleet.SENSORS,21(8).
MLA	Luo, Yawen,et al."Energy-Aware Dynamic 3D Placement of Multi-Drone Sensing Fleet".SENSORS 21.8(2021).