Faulty sensor detection mechanism using multi-variate sensors in IoT

Internet of Thing (IoT) becoming increasingly popular over the past few years because it can be implemented in many applications such as smart cities, smart agriculture, smart health, smart home and etc. IoT devices are equipped with sensors such as temperature, humidity, pulse sensor, smoke and etc...

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主要作者:	Al-Atrakchii, Khaldoon Ammar
格式:	Thesis
语言:	English English English
出版:	2019
主题:	TK7800-8360 Electronics
在线阅读:	http://eprints.uthm.edu.my/537/1/24p%20KHALDOON%20AMMAR%20ALTRAKCHII.pdf http://eprints.uthm.edu.my/537/2/KHALDOON%20AMMAR%20ALTRAKCHII%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/537/3/KHALDOON%20AMMAR%20ALTRAKCHII%20WATERMARK.pdf
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id	my-uthm-ep.537
record_format	uketd_dc
spelling	my-uthm-ep.5372021-08-05T03:01:16Z Faulty sensor detection mechanism using multi-variate sensors in IoT 2019-07 Al-Atrakchii, Khaldoon Ammar TK7800-8360 Electronics Internet of Thing (IoT) becoming increasingly popular over the past few years because it can be implemented in many applications such as smart cities, smart agriculture, smart health, smart home and etc. IoT devices are equipped with sensors such as temperature, humidity, pulse sensor, smoke and etc., offer many types of services for these applications. IoT devices are lightweight and have limited computational capabilities often exposed to harsh environments, which can cause failure on the IoT devices. The failure on the IoT devices is caused due to limited battery life, hardware failure or human mistakes. Sensor faults can be categorized under one type of hardware failure, such as sensor burn, reduced sensor sensitivity and malfunctioned sensors. Any faulty on the IoT devices can create a problem on the overall operation of the IoT system. Thus, it is very important to manage these IoT devices efficiency. Traditional ways in the management of IoT devices, require a maintenance officer to check each device every day. Because of this, we proposed two methods for Faulty Sensor Detection and Identification mechanism based on multi-variate sensors for Smart Parking System and smart agriculture. The first proposed method is a logical mechanism uses three different types of. The second method proposed is based on a correlation method that can exploit the multi-variable sensor which existing in IoT application. The proposed methods can provide information when one sensor becomes damaged. The accuracy of the algorithm for data correlation may be changing depending on the application that wants to detect the faulty sensor in the system and according to how many data that income to the microcontroller per minute and how many data should take to calculate the correlation coefficient. Therefore, for the smart agriculture which it's used in this project, the period is adjusted to give a good diagnose for the sensor as soon as possible. 2019-07 Thesis http://eprints.uthm.edu.my/537/ http://eprints.uthm.edu.my/537/1/24p%20KHALDOON%20AMMAR%20ALTRAKCHII.pdf text en public http://eprints.uthm.edu.my/537/2/KHALDOON%20AMMAR%20ALTRAKCHII%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/537/3/KHALDOON%20AMMAR%20ALTRAKCHII%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK7800-8360 Electronics
spellingShingle	TK7800-8360 Electronics Al-Atrakchii, Khaldoon Ammar Faulty sensor detection mechanism using multi-variate sensors in IoT
description	Internet of Thing (IoT) becoming increasingly popular over the past few years because it can be implemented in many applications such as smart cities, smart agriculture, smart health, smart home and etc. IoT devices are equipped with sensors such as temperature, humidity, pulse sensor, smoke and etc., offer many types of services for these applications. IoT devices are lightweight and have limited computational capabilities often exposed to harsh environments, which can cause failure on the IoT devices. The failure on the IoT devices is caused due to limited battery life, hardware failure or human mistakes. Sensor faults can be categorized under one type of hardware failure, such as sensor burn, reduced sensor sensitivity and malfunctioned sensors. Any faulty on the IoT devices can create a problem on the overall operation of the IoT system. Thus, it is very important to manage these IoT devices efficiency. Traditional ways in the management of IoT devices, require a maintenance officer to check each device every day. Because of this, we proposed two methods for Faulty Sensor Detection and Identification mechanism based on multi-variate sensors for Smart Parking System and smart agriculture. The first proposed method is a logical mechanism uses three different types of. The second method proposed is based on a correlation method that can exploit the multi-variable sensor which existing in IoT application. The proposed methods can provide information when one sensor becomes damaged. The accuracy of the algorithm for data correlation may be changing depending on the application that wants to detect the faulty sensor in the system and according to how many data that income to the microcontroller per minute and how many data should take to calculate the correlation coefficient. Therefore, for the smart agriculture which it's used in this project, the period is adjusted to give a good diagnose for the sensor as soon as possible.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Al-Atrakchii, Khaldoon Ammar
author_facet	Al-Atrakchii, Khaldoon Ammar
author_sort	Al-Atrakchii, Khaldoon Ammar
title	Faulty sensor detection mechanism using multi-variate sensors in IoT
title_short	Faulty sensor detection mechanism using multi-variate sensors in IoT
title_full	Faulty sensor detection mechanism using multi-variate sensors in IoT
title_fullStr	Faulty sensor detection mechanism using multi-variate sensors in IoT
title_full_unstemmed	Faulty sensor detection mechanism using multi-variate sensors in IoT
title_sort	faulty sensor detection mechanism using multi-variate sensors in iot
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2019
url	http://eprints.uthm.edu.my/537/1/24p%20KHALDOON%20AMMAR%20ALTRAKCHII.pdf http://eprints.uthm.edu.my/537/2/KHALDOON%20AMMAR%20ALTRAKCHII%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/537/3/KHALDOON%20AMMAR%20ALTRAKCHII%20WATERMARK.pdf
_version_	1747830633412952064

Faulty sensor detection mechanism using multi-variate sensors in IoT

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