Wireless Smart Sensor Network for Flood Management Optimization

Recent development in the sensing technologies and wireless sensor networks has encouraged many innovative applications in disaster management and forecasting. Flood is one of the most dangerous natural disasters that occurs frequently in south Asia. Therefore, water level monitoring and flood ear...

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Main Authors:	Alfarra, Hossam Adden, Alsibai, Mohammad Hayyan
Format:	Article
Language:	English
Published:	Penerbit Universiti Malaysia Pahang 2017
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/18515/ http://umpir.ump.edu.my/id/eprint/18515/ http://umpir.ump.edu.my/id/eprint/18515/ http://umpir.ump.edu.my/id/eprint/18515/1/ftech-2017-hayyan-Wireless%20Smart%20Sensor%20Network.pdf

id	ump-18515
recordtype	eprints
spelling	ump-185152018-02-21T02:49:35Z http://umpir.ump.edu.my/id/eprint/18515/ Wireless Smart Sensor Network for Flood Management Optimization Alfarra, Hossam Adden Alsibai, Mohammad Hayyan QA75 Electronic computers. Computer science Recent development in the sensing technologies and wireless sensor networks has encouraged many innovative applications in disaster management and forecasting. Flood is one of the most dangerous natural disasters that occurs frequently in south Asia. Therefore, water level monitoring and flood early prediction,play an important role in lives and properties saving. In this paper, an optimized Flood Warning System (FWS) is presented. The system is based on multi parameters Wireless Smart Sensor Network (WSSN) for early flood warning. WSSN performs pre-processing procedures at sensor level before sending the data to a base data analyzing station. This pre-processing step is to improve the reliability,data quality and transmission quality. For the purpose of validation, the proposed method is applied using two parameters: The water level (L) and streamflow of water (R) in rivers. The proposed system provides early flood detection by continuously measuring R and L in real-time. The collected data is to be used to predict flood time and place. Data is exchanged among sensors in real-time. Pre-analyzing is performed and reports are sent to the base station only if the analysis gave a high risk level. The main purpose is to cut down the data size. Analysis and simulation showed that the data size is improved significantly using this method. Calculations considers real cases on a part of Pahang River (Sungai Pahang). Penerbit Universiti Malaysia Pahang 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18515/1/ftech-2017-hayyan-Wireless%20Smart%20Sensor%20Network.pdf Alfarra, Hossam Adden and Alsibai, Mohammad Hayyan (2017) Wireless Smart Sensor Network for Flood Management Optimization. International Journal of Engineering Technology And Sciences (IJETS), 7 (1). pp. 1-7. ISSN 2289-697X http://ijets.ump.edu.my/images/archive/Vol7/5.pdf doi: 10.15282/ijets.7.2017.1.5.1067
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Alfarra, Hossam Adden Alsibai, Mohammad Hayyan Wireless Smart Sensor Network for Flood Management Optimization
description	Recent development in the sensing technologies and wireless sensor networks has encouraged many innovative applications in disaster management and forecasting. Flood is one of the most dangerous natural disasters that occurs frequently in south Asia. Therefore, water level monitoring and flood early prediction,play an important role in lives and properties saving. In this paper, an optimized Flood Warning System (FWS) is presented. The system is based on multi parameters Wireless Smart Sensor Network (WSSN) for early flood warning. WSSN performs pre-processing procedures at sensor level before sending the data to a base data analyzing station. This pre-processing step is to improve the reliability,data quality and transmission quality. For the purpose of validation, the proposed method is applied using two parameters: The water level (L) and streamflow of water (R) in rivers. The proposed system provides early flood detection by continuously measuring R and L in real-time. The collected data is to be used to predict flood time and place. Data is exchanged among sensors in real-time. Pre-analyzing is performed and reports are sent to the base station only if the analysis gave a high risk level. The main purpose is to cut down the data size. Analysis and simulation showed that the data size is improved significantly using this method. Calculations considers real cases on a part of Pahang River (Sungai Pahang).
format	Article
author	Alfarra, Hossam Adden Alsibai, Mohammad Hayyan
author_facet	Alfarra, Hossam Adden Alsibai, Mohammad Hayyan
author_sort	Alfarra, Hossam Adden
title	Wireless Smart Sensor Network for Flood Management Optimization
title_short	Wireless Smart Sensor Network for Flood Management Optimization
title_full	Wireless Smart Sensor Network for Flood Management Optimization
title_fullStr	Wireless Smart Sensor Network for Flood Management Optimization
title_full_unstemmed	Wireless Smart Sensor Network for Flood Management Optimization
title_sort	wireless smart sensor network for flood management optimization
publisher	Penerbit Universiti Malaysia Pahang
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18515/ http://umpir.ump.edu.my/id/eprint/18515/ http://umpir.ump.edu.my/id/eprint/18515/ http://umpir.ump.edu.my/id/eprint/18515/1/ftech-2017-hayyan-Wireless%20Smart%20Sensor%20Network.pdf
first_indexed	2023-09-18T22:26:16Z
last_indexed	2023-09-18T22:26:16Z
_version_	1777415986957254656

Wireless Smart Sensor Network for Flood Management Optimization

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