干旱区生态环境知识资源中心(Arid): Wireless sensor networks and machine learning meet climate change prediction

Arid

DOI	10.1002/dac.4687
	Wireless sensor networks and machine learning meet climate change prediction
	Anh Khoa, Tran; Quang Minh, Nguyen; Hai Son, Hoang; Nguyen Dang Khoa, Cao; Ngoc Tan, Dinh; VanDung, Nguyen; Hoang Nam, Nguyen; Ngoc Minh Duc, Dang; Trung Tin, Nguyen
通讯作者	Son, HH
来源期刊	INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
ISSN	1074-5351
EISSN	1099-1131
英文摘要	Climate change is one of the main challenges faced by the development of every country. For countries producing agricultural commodities, the climate affects the quantity and quality of products. Many methods have been proposed to keep track of climate. One traditional method is the weather station model, which indicates the temperature, wind speed, and direction and extent of cloud cover. However, this method of predicting climate change has low accuracy due to geographical variation, for example, mountainous or forested areas. Recently, a combination of wireless sensor networks (WSN) and machine learning (ML) has been considered for prediction with the Internet of Things (IoT), for instance, through a wireless body area network. For climate change prediction, we design and develop a control system that uses node sensors to collect data in sandhills and beaches, with data management conducted via a web application with three components. The first component is designed to collect data from the node sensors. The second component is mainly used to control the system through a web application. The third component uses linear regression in ML to analyze the data to predict weight and volume. The complete system has been tried and tested in real time on a 10-m(2) area of a beach at Binh Thuan province, Vietnam, where sensor node data were wirelessly collected over a cloud using a web application. This enabled assessment of the current state of the land at a coastal sandy beach, as well as prediction of the risk level of desertification and natural disasters.
英文关键词	linear regression machine learning predict sensor web application wireless sensor network
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000592125600001
WOS关键词	MODEL
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Engineering ; Telecommunications
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/328538
作者单位	[Anh Khoa, Tran; Hoang Nam, Nguyen] Ton Duc Thang Univ, Fac Elect & Elect Engn, Modeling Evolutionary Algorithms Simulat & Artifi, Ho Chi Minh City 700000, Vietnam; [Quang Minh, Nguyen; Nguyen Dang Khoa, Cao; Ngoc Tan, Dinh; VanDung, Nguyen] Ton Duc Thang Univ, Fac Elect & Elect Engn, Ho Chi Minh City 700000, Vietnam; [Hai Son, Hoang] Nguyen Tat Thanh Univ, Fac Mech Elect Elect & Automot Engn, Ho Chi Minh City 700000, Vietnam; [Ngoc Minh Duc, Dang] Ton Duc Thang Univ, Sch Grad Studies, Ho Chi Minh City 700000, Vietnam; [Trung Tin, Nguyen] Le Quy Don Tech Univ, Fac Informat Technol, 236 Hoang Quoc Viet St, Hanoi, Vietnam
推荐引用方式 GB/T 7714	Anh Khoa, Tran,Quang Minh, Nguyen,Hai Son, Hoang,et al. Wireless sensor networks and machine learning meet climate change prediction[J].
APA	Anh Khoa, Tran.,Quang Minh, Nguyen.,Hai Son, Hoang.,Nguyen Dang Khoa, Cao.,Ngoc Tan, Dinh.,...&Trung Tin, Nguyen.
MLA	Anh Khoa, Tran,et al."Wireless sensor networks and machine learning meet climate change prediction".INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS