中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Dynamic Measurement and Data Calibration for Aerial Mobile IoT

文献类型:期刊论文

作者Gu, Jingjing1,2; Liu, Cheng1,2; Zhuang, Yi1,2; Du, Xiaojiang3; Zhuang, Fuzhen4,5; Ying, Haochao6; Zhao, Yanchao1,2; Guizani, Mohsen7
刊名IEEE INTERNET OF THINGS JOURNAL
出版日期2020-06-01
卷号7期号:6页码:5210-5219
关键词Sensors Atmospheric measurements Calibration Temperature measurement Pollution measurement Internet of Things Correlation Aerial Internet of Things (Aerial-IoT) data calibration dynamic measurement
ISSN号2327-4662
DOI10.1109/JIOT.2020.2977910
英文摘要The Aerial Internet-of-Things (Aerial-IoT) systems, deploying sensors on high-altitude platforms, e.g., drones, parachutes, and aircrafts, are a crucial monitor due to its agile maneuverability and augmentation of observation, collection, and communication. As such, the measurement accuracy and requirements of Aerial-IoT are far beyond the ability of general commercial-off-the-shelf sensors, especially in the high-altitude environment, where environmental factors (air pressure, temperature, humidity, wind movement, etc.) tend to change rapidly and lead to highly deviated readings. In this article, we tackle this challenge. First, we introduce our designed measurement system for Aerial-IoT. Then, to compensate for the low data quality and calibrate the deviation data from sensors, we take into account the inherent correlations and interaction between sensor data and environmental factors, and construct a data calibration model, called data calibration based on the neural network (DC-NN). Finally, to illustrate the effectiveness of our system, we carry out a real-world implementation by deploying sensors on the surface of parachutes in a dynamic airdrop environment. Extensive experiments on temperature-humidity-material-tensile-testing (THMTT) and high-altitude airdrop are conducted to show the significant improvements of our proposed DC-NN model.
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000543157700041
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/15192]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Gu, Jingjing; Zhao, Yanchao
作者单位1.Nanjing Univ Aeronaut & Astronaut, Coll Comp Sci & Technol, Nanjing 210016, Peoples R China
2.Collaborat Innovat Ctr Novel Software Technol & I, Nanjing 210023, Peoples R China
3.Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
4.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Zhejiang Univ, Sch Publ Hlth, Sch Med, Hangzhou 310027, Peoples R China
7.Qatar Univ, Dept Comp Sci & Engn, Doha, Qatar
推荐引用方式
GB/T 7714
Gu, Jingjing,Liu, Cheng,Zhuang, Yi,et al. Dynamic Measurement and Data Calibration for Aerial Mobile IoT[J]. IEEE INTERNET OF THINGS JOURNAL,2020,7(6):5210-5219.
APA Gu, Jingjing.,Liu, Cheng.,Zhuang, Yi.,Du, Xiaojiang.,Zhuang, Fuzhen.,...&Guizani, Mohsen.(2020).Dynamic Measurement and Data Calibration for Aerial Mobile IoT.IEEE INTERNET OF THINGS JOURNAL,7(6),5210-5219.
MLA Gu, Jingjing,et al."Dynamic Measurement and Data Calibration for Aerial Mobile IoT".IEEE INTERNET OF THINGS JOURNAL 7.6(2020):5210-5219.

入库方式: OAI收割

来源:计算技术研究所

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