Impact of Nodes on Energy Consumption of IoT Devices

The rapid growth of the Internet of Things (IoT) has raised concerns about energy consumption in IoT devices, significantly influenced by the number of network nodes. This research investigates the impact of nodes contributing to the highest and lowest energy consumption of IoT devices and analyze e...

Full description

Bibliographic Details
Published in:International Journal of Integrated Engineering
Main Author: Yusof Y.W.M.; Kassim M.; Azmi N.H.; Ismail M.N.
Format: Article
Language:English
Published: Penerbit UTHM 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216298641&doi=10.30880%2fijie.2024.16.07.029&partnerID=40&md5=006fad60471f3ac0ad55eb16e36936a7
id 2-s2.0-85216298641
spelling 2-s2.0-85216298641
Yusof Y.W.M.; Kassim M.; Azmi N.H.; Ismail M.N.
Impact of Nodes on Energy Consumption of IoT Devices
2024
International Journal of Integrated Engineering
16
7
10.30880/ijie.2024.16.07.029
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216298641&doi=10.30880%2fijie.2024.16.07.029&partnerID=40&md5=006fad60471f3ac0ad55eb16e36936a7
The rapid growth of the Internet of Things (IoT) has raised concerns about energy consumption in IoT devices, significantly influenced by the number of network nodes. This research investigates the impact of nodes contributing to the highest and lowest energy consumption of IoT devices and analyze energy consumption based on battery model in IoT devices. A simulation model is created using Network Simulator Tool (NetSim) with four types of lithium-ion batteries and 3 nodes configuration: 5, 10 and 15 nodes. Results show that, for a 5-node setup with a 3000mAh 3.7V design, the lowest energy consumption value is 2.6634 kJ and the highest remaining energy value is 93.33% occur after 12 hours. For 10 nodes, energy consumption is 5.3497kJ with remaining energy is 86.61%. While for 15 nodes, the highest energy consumption is 8.0542kJ and the remaining energy is 79.84%. The study concludes that more nodes lead to higher energy consumption due to increased computing load, network traffic, and resource utilization. It is also highlighting that prolonged activation of nodes leads to higher batter consumption, emphasizing the need for efficient power management in IoT devices. © (2024), (Penerbit UTHM). All rights reserved.
Penerbit UTHM
2229838X
English
Article

author Yusof Y.W.M.; Kassim M.; Azmi N.H.; Ismail M.N.
spellingShingle Yusof Y.W.M.; Kassim M.; Azmi N.H.; Ismail M.N.
Impact of Nodes on Energy Consumption of IoT Devices
author_facet Yusof Y.W.M.; Kassim M.; Azmi N.H.; Ismail M.N.
author_sort Yusof Y.W.M.; Kassim M.; Azmi N.H.; Ismail M.N.
title Impact of Nodes on Energy Consumption of IoT Devices
title_short Impact of Nodes on Energy Consumption of IoT Devices
title_full Impact of Nodes on Energy Consumption of IoT Devices
title_fullStr Impact of Nodes on Energy Consumption of IoT Devices
title_full_unstemmed Impact of Nodes on Energy Consumption of IoT Devices
title_sort Impact of Nodes on Energy Consumption of IoT Devices
publishDate 2024
container_title International Journal of Integrated Engineering
container_volume 16
container_issue 7
doi_str_mv 10.30880/ijie.2024.16.07.029
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216298641&doi=10.30880%2fijie.2024.16.07.029&partnerID=40&md5=006fad60471f3ac0ad55eb16e36936a7
description The rapid growth of the Internet of Things (IoT) has raised concerns about energy consumption in IoT devices, significantly influenced by the number of network nodes. This research investigates the impact of nodes contributing to the highest and lowest energy consumption of IoT devices and analyze energy consumption based on battery model in IoT devices. A simulation model is created using Network Simulator Tool (NetSim) with four types of lithium-ion batteries and 3 nodes configuration: 5, 10 and 15 nodes. Results show that, for a 5-node setup with a 3000mAh 3.7V design, the lowest energy consumption value is 2.6634 kJ and the highest remaining energy value is 93.33% occur after 12 hours. For 10 nodes, energy consumption is 5.3497kJ with remaining energy is 86.61%. While for 15 nodes, the highest energy consumption is 8.0542kJ and the remaining energy is 79.84%. The study concludes that more nodes lead to higher energy consumption due to increased computing load, network traffic, and resource utilization. It is also highlighting that prolonged activation of nodes leads to higher batter consumption, emphasizing the need for efficient power management in IoT devices. © (2024), (Penerbit UTHM). All rights reserved.
publisher Penerbit UTHM
issn 2229838X
language English
format Article
accesstype
record_format scopus
collection Scopus
_version_ 1825722578850807808