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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Main Author: Al-Atrakchii, Khaldoon Ammar
Format: Thesis
Language:English
English
English
Published: 2019
Subjects:
Online Access: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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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
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