E<SUP>3</SUP>-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles

doi:10.1109/JIOT.2023.3301623

CSpace

	E³-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles
	Suo, Jiashun 1,2; Zhang, Xingzhou 3; Shi, Weisong 4; Zhou, Wei 1,2
	2024-02-01
发表期刊	IEEE INTERNET OF THINGS JOURNAL
ISSN	2327-4662
卷号	11 期号:3 页码:4398-4413
摘要	Motivated by the advances in deep learning techniques, the application of unmanned aerial vehicle (UAV)-based object detection has proliferated across a range of fields, including vehicle counting, fire detection, and city monitoring. While most existing research studies only a subset of the challenges inherent to UAV-based object detection, there are few studies that balance various aspects to design a practical system for energy consumption reduction. In response, we present the E3-UAV, an edge-based energy-efficient object detection system for UAVs. The system is designed to dynamically support various UAV devices, edge devices, and detection algorithms, with the aim of minimizing energy consumption by deciding the most energy-efficient flight parameters (including flight altitude, flight speed, detection algorithm, and sampling rate) required to fulfill the detection requirements of the task. We first present an effective evaluation metric for actual tasks and construct a transparent energy consumption model based on hundreds of actual flight data to formalize the relationship between energy consumption and flight parameters. Then, we present a lightweight energy-efficient priority decision algorithm based on a large quantity of actual flight data to assist the system in deciding flight parameters. Finally, we evaluate the performance of the system, and our experimental results demonstrate that it can significantly decrease energy consumption in real-world scenarios. Additionally, we provide four insights that can assist researchers and engineers in their efforts to study UAV-based object detection further.
关键词	Object detection Energy consumption Task analysis Image edge detection Autonomous aerial vehicles Detectors Detection algorithms Edge computing edge intelligence energy efficiency object detection system unmanned aerial vehicle (UAV)
DOI	10.1109/JIOT.2023.3301623
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:001166992300079
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38751
专题	中国科学院计算技术研究所
通讯作者	Zhou, Wei
作者单位	1.Yunnan Univ, Engn Res Ctr Cyberspace, Kunming 650091, Peoples R China 2.Yunnan Univ, Sch Software, Kunming 650091, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Res Ctr Distributed Syst, Beijing 100190, Peoples R China 4.Univ Delaware, Dept Comp & Informat Sci, Newark, DE 19716 USA
推荐引用方式 GB/T 7714	Suo, Jiashun,Zhang, Xingzhou,Shi, Weisong,et al. E³-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles[J]. IEEE INTERNET OF THINGS JOURNAL,2024,11(3):4398-4413.
APA	Suo, Jiashun,Zhang, Xingzhou,Shi, Weisong,&Zhou, Wei.(2024).E³-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles.IEEE INTERNET OF THINGS JOURNAL,11(3),4398-4413.
MLA	Suo, Jiashun,et al."E³-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles".IEEE INTERNET OF THINGS JOURNAL 11.3(2024):4398-4413.