云计算
计算机科学
大数据
实时计算
数据采集
理论(学习稳定性)
数据处理
多样性(控制论)
航程(航空)
分布式计算
控制系统
国家(计算机科学)
人工智能
工程类
数据挖掘
航空航天工程
操作系统
机器学习
电气工程
算法
作者
Feng Luo,Chunxiao Jiang,Shui Yu,Jingjing Wang,Yipeng Li,Yong Ren
出处
期刊:IEEE Transactions on Cloud Computing
[Institute of Electrical and Electronics Engineers]
日期:2017-04-24
卷期号:7 (3): 866-877
被引量:59
标识
DOI:10.1109/tcc.2017.2696529
摘要
Unmanned Aerial Vehicle (UAV) technology has been widely applied in both military and civilian applications. Recent researches on UAV systems feature in the dramatic augment of the variety and number of equipped sensors, which results in such an issue that multiple UAVs cannot afford to handle the big data generated by a range of sensors in the air. Considering this practical problem, in this paper, we propose a cloud-based UAV system which incorporates the computing capability of the terrestrial cloud into the UAV systems. Relying on proposed cloud-based UAV system, one critical theoretic issue is how to acquire the big data generated by the sensors while guaranteeing a stable operation state of the system. First, we analyze the cloud-based system's on-demand service ability as well as its impact on UAVs' control procedure. Second, the UAV cloud control system is modeled as a network control system. Moreover, the stable condition of the UAV cloud control system is derived, which reveals the relationship between the acquisition rate of sensor data and the stability of the cloud-based UAV system. Finally, simulations are conducted to verify the effectiveness of our theoretical analysis.
科研通智能强力驱动
Strongly Powered by AbleSci AI