.png){kind=icon}
返回
Multi-UAV Collaborative Data Collection for IoT Devices Powered by Battery
.png){kind=icon}
PRE
AI
DOI：10.1109/wcnc45663.2020.9120646.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Due to the limited energy of the Internet of Things (IoT) device, unmanned aerial vehicle (UAV) as a mobile fusion center can effectively prolong the lifetime of IoT device via supporting communication with the device directly. Moreover, since UAV's energy constrained, it will be a good measure to take multiple UAVs to collect data from devices in large areas. In this paper, we investigate multi-UAV collaborative data collection system, where multiple UAVs collect data from two-dimensional distributed devices on flying mode or hovering mode. The objective is to minimize UAVs' total flight time while allowing each device to complete data upload successfully with limited energy. To this end, firstly, a cell partition based on Voronoi diagram is used to allocate the collection areas of each UAV. Then, in each associated area, UAV determines the whole trajectory to serve devices. Lastly, given load requirement of ground devices and energy limitation, the optimal data collection mode of each device is decided to minimize flight time of each UAV. Simulation results show that the proposed multi-UAV data collection scheme can shorten collection task completion time significantly.
Keyword:
Internet of Things
Multi-UAV
collaborative data collection
path planning
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
0
论文数:
56
被引数:
0
机构
引用论文
.png){kind=icon}
Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges无人机无线通信: 机遇与挑战
OAAI
OAAI分享收藏Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and TradeoffsOAAI
OAAI分享收藏分享收藏分享收藏Motor Cortex Reorganization and Impaired Function in the Transition to Sustained Muscle Pain运动皮层重组和功能受损过渡到持续的肌肉疼痛
PREAI
分享收藏
没有更多内容
没有更多内容