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Wireless water quality cloud monitoring system with self-healing algorithm

The need of a water quality monitoring system is crucial for aquaculture and environmental control evaluation. This paper focuses on the development of the Water Quality (WQ) monitoring module that consists of hardware and software components. It highlights the details of the hardware components and...

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Main Authors:	Syed Ariffin, Sharifah Hafizah, Baharudin, Muhammad Ariff, Mohd Fauzi, Mohd Husaini, Abdul Latiff, Nurul Mu'azzah, Syed Yusof, Sharifah Kamilah, Abdul Latiff, Nurul Adilah
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2017
Online Access:	http://psasir.upm.edu.my/id/eprint/64747/1/Wireless%20water%20quality%20cloud%20monitoring%20system%20with%20self-healing%20algorithm.pdf http://psasir.upm.edu.my/id/eprint/64747/
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id	my.upm.eprints.64747
record_format	eprints
spelling	my.upm.eprints.647472018-08-14T07:09:56Z http://psasir.upm.edu.my/id/eprint/64747/ Wireless water quality cloud monitoring system with self-healing algorithm Syed Ariffin, Sharifah Hafizah Baharudin, Muhammad Ariff Mohd Fauzi, Mohd Husaini Abdul Latiff, Nurul Mu'azzah Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Adilah The need of a water quality monitoring system is crucial for aquaculture and environmental control evaluation. This paper focuses on the development of the Water Quality (WQ) monitoring module that consists of hardware and software components. It highlights the details of the hardware components and the algorithm as well as the software that is connected to the cloud. There are many works on storing environmental data in cloud storage in Malaysia. The new platform to date for the Internet of Things (IoT) and cloud database is Favoriot. Favoriot is a platform for IoT and machine-to-machine (M2M) development. For this project, Favoriot platform is used for real time data. The self-healing algorithm is design to reduce human intervention and continuous data collected in the remote areas. The result shows that the self-healing algorithm is able to recover itself without physical reseting, in case during distruption of wireless service connection failure. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64747/1/Wireless%20water%20quality%20cloud%20monitoring%20system%20with%20self-healing%20algorithm.pdf Syed Ariffin, Sharifah Hafizah and Baharudin, Muhammad Ariff and Mohd Fauzi, Mohd Husaini and Abdul Latiff, Nurul Mu'azzah and Syed Yusof, Sharifah Kamilah and Abdul Latiff, Nurul Adilah (2017) Wireless water quality cloud monitoring system with self-healing algorithm. In: 2017 IEEE 13th Malaysia International Conference on Communications (MICC 2017), 28-30 Nov. 2017, The Puteri Pacific, Johor Bahru, Malaysia. (pp. 218-223). 10.1109/MICC.2017.8311762
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	The need of a water quality monitoring system is crucial for aquaculture and environmental control evaluation. This paper focuses on the development of the Water Quality (WQ) monitoring module that consists of hardware and software components. It highlights the details of the hardware components and the algorithm as well as the software that is connected to the cloud. There are many works on storing environmental data in cloud storage in Malaysia. The new platform to date for the Internet of Things (IoT) and cloud database is Favoriot. Favoriot is a platform for IoT and machine-to-machine (M2M) development. For this project, Favoriot platform is used for real time data. The self-healing algorithm is design to reduce human intervention and continuous data collected in the remote areas. The result shows that the self-healing algorithm is able to recover itself without physical reseting, in case during distruption of wireless service connection failure.
format	Conference or Workshop Item
author	Syed Ariffin, Sharifah Hafizah Baharudin, Muhammad Ariff Mohd Fauzi, Mohd Husaini Abdul Latiff, Nurul Mu'azzah Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Adilah
spellingShingle	Syed Ariffin, Sharifah Hafizah Baharudin, Muhammad Ariff Mohd Fauzi, Mohd Husaini Abdul Latiff, Nurul Mu'azzah Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Adilah Wireless water quality cloud monitoring system with self-healing algorithm
author_facet	Syed Ariffin, Sharifah Hafizah Baharudin, Muhammad Ariff Mohd Fauzi, Mohd Husaini Abdul Latiff, Nurul Mu'azzah Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Adilah
author_sort	Syed Ariffin, Sharifah Hafizah
title	Wireless water quality cloud monitoring system with self-healing algorithm
title_short	Wireless water quality cloud monitoring system with self-healing algorithm
title_full	Wireless water quality cloud monitoring system with self-healing algorithm
title_fullStr	Wireless water quality cloud monitoring system with self-healing algorithm
title_full_unstemmed	Wireless water quality cloud monitoring system with self-healing algorithm
title_sort	wireless water quality cloud monitoring system with self-healing algorithm
publisher	IEEE
publishDate	2017
url	http://psasir.upm.edu.my/id/eprint/64747/1/Wireless%20water%20quality%20cloud%20monitoring%20system%20with%20self-healing%20algorithm.pdf http://psasir.upm.edu.my/id/eprint/64747/
_version_	1643838113513996288
score	13.211869

Wireless water quality cloud monitoring system with self-healing algorithm

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