E3-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles
文献类型：期刊论文
| 作者 | Suo, Jiashun2,3; Zhang, Xingzhou1; Shi, Weisong4; Zhou, Wei2,3 |
| 刊名 | IEEE INTERNET OF THINGS JOURNAL
 |
| 出版日期 | 2024-02-01 |
| 卷号 | 11期号:3页码:4398-4413 |
| 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) |
| ISSN号 | 2327-4662 |
| DOI | 10.1109/JIOT.2023.3301623 |
| 英文摘要 | 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. |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001166992300079 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/38750]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Zhou, Wei |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Res Ctr Distributed Syst, Beijing 100190, Peoples R China 2.Yunnan Univ, Sch Software, Kunming 650091, Peoples R China 3.Yunnan Univ, Engn Res Ctr Cyberspace, Kunming 650091, 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. |
入库方式： OAI收割
来源：计算技术研究所
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