气候变化领域集成服务门户(CCPortal): Energy efficient IoT-based cloud framework for early flood prediction

CCPortal

DOI	10.1007/s11069-021-04910-7
	Energy efficient IoT-based cloud framework for early flood prediction
	Kaur M.; Kaur P.D.; Sood S.K.
发表日期	2021
ISSN	0921030X
英文摘要	Flood is a recurrent and crucial natural phenomenon affecting almost the entire planet. It is a critical problem that causes crop destruction, destruction to the population, loss of infrastructure, and demolition of several public utilities. An effective way to deal with this is to alert the community from incoming inundation and provide ample time to evacuate and protect property. In this article, we suggest an IoT-based energy-efficient flood prediction and forecasting system. IoT sensor nodes are constrained in battery and memory, so the fog layer uses an energy-saving approach based on data heterogeneity to preserve the system’s power consumption. Cloud storage is used for efficient storage. The environmental conditions such as temperature, humidity, rainfall, and water body parameters, i.e., water flow and water level, are being investigated for India’s Kerala region to calibrate the flood phases. PCA (Principal Component Analysis) approach is used at the fog layer for attribute dimensionality reduction. ANN (Artificial Neural Network) algorithm is used to predict the flood, and the simulation technique of Holt Winter is used to forecast the future flood. Data are obtained from the Indian government meteorological database, and experimental assessment is carried out. The findings showed the feasibility of the proposed architecture. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.
关键词	ANN ANOVA Flood Holt Winter Internet of Things Tukey post hoc test
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206319
作者单位	Department of Computer Science and Engineering, Guru Nanak Dev University Regional Campus Jalandhar, Punjab, 144007, India; Department of Computer Applications, National Institute of Technology, Kurukshetra, Haryana 136119, India
推荐引用方式 GB/T 7714	Kaur M.,Kaur P.D.,Sood S.K.. Energy efficient IoT-based cloud framework for early flood prediction[J],2021.
APA	Kaur M.,Kaur P.D.,&Sood S.K..(2021).Energy efficient IoT-based cloud framework for early flood prediction.Natural Hazards.
MLA	Kaur M.,et al."Energy efficient IoT-based cloud framework for early flood prediction".Natural Hazards (2021).