IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi

The conventional street-lighting system in Malaysia promotes high energy consumption. This caused expensive electricity and maintenance bills. One of the approaches to solve this problem is by developing and implementing the IoT-Based Smart Energy Saving Streetlights (SESS). The SESS has two main fe...

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Bibliographic Details
Main Author:	Faishal Azmi, Nur Amyleena Arnie
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Instruments and machines Electric lighting
Online Access:	https://ir.uitm.edu.my/id/eprint/31524/1/TD_NUR%20AMYLEENA%20ARNIE%20FAISHAL%20AZMI%20CS%20R%2020_5.pdf
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id	my-uitm-ir.31524
record_format	uketd_dc
spelling	my-uitm-ir.315242020-06-24T08:27:06Z IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi 2020-06-24 Faishal Azmi, Nur Amyleena Arnie Instruments and machines Electronic Computers. Computer Science Electric lighting Detectors. Sensors. Sensor networks The conventional street-lighting system in Malaysia promotes high energy consumption. This caused expensive electricity and maintenance bills. One of the approaches to solve this problem is by developing and implementing the IoT-Based Smart Energy Saving Streetlights (SESS). The SESS has two main features, automation in switching on and off and dimming to 40%. These features are enabled through the implementation of LDR and IR sensors which are connected to the LEDs. These components are controlled by a microcontroller, NodeMCU. It has been found that the SESS can reduce up to 79% of the power bills of streetlights. This reduction will be very beneficial to society in general. SESS is beneficial to the government which it allows them to reduce the operating and maintenance costs of streetlights. Meanwhile, the researchers can use the approach to address the similar issues in future works. 2020-06 Thesis https://ir.uitm.edu.my/id/eprint/31524/ https://ir.uitm.edu.my/id/eprint/31524/1/TD_NUR%20AMYLEENA%20ARNIE%20FAISHAL%20AZMI%20CS%20R%2020_5.pdf text en public degree Universiti Teknologi Mara Perlis Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Instruments and machines Instruments and machines Electric lighting Instruments and machines
spellingShingle	Instruments and machines Instruments and machines Electric lighting Instruments and machines Faishal Azmi, Nur Amyleena Arnie IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi
description	The conventional street-lighting system in Malaysia promotes high energy consumption. This caused expensive electricity and maintenance bills. One of the approaches to solve this problem is by developing and implementing the IoT-Based Smart Energy Saving Streetlights (SESS). The SESS has two main features, automation in switching on and off and dimming to 40%. These features are enabled through the implementation of LDR and IR sensors which are connected to the LEDs. These components are controlled by a microcontroller, NodeMCU. It has been found that the SESS can reduce up to 79% of the power bills of streetlights. This reduction will be very beneficial to society in general. SESS is beneficial to the government which it allows them to reduce the operating and maintenance costs of streetlights. Meanwhile, the researchers can use the approach to address the similar issues in future works.
format	Thesis
qualification_level	Bachelor degree
author	Faishal Azmi, Nur Amyleena Arnie
author_facet	Faishal Azmi, Nur Amyleena Arnie
author_sort	Faishal Azmi, Nur Amyleena Arnie
title	IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi
title_short	IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi
title_full	IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi
title_fullStr	IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi
title_full_unstemmed	IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi
title_sort	iot-based smart energy-saving streetlights / nur amyleena arnie faishal azmi
granting_institution	Universiti Teknologi Mara Perlis
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/31524/1/TD_NUR%20AMYLEENA%20ARNIE%20FAISHAL%20AZMI%20CS%20R%2020_5.pdf
_version_	1783734125810679808

IoT-Based smart energy-saving streetlights / Nur Amyleena Arnie Faishal Azmi

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