Empowering Smart Homes with Fog computing for IoT connectivity

Ahmed, Amjed Abbas and Najim, Ali Hamza and Mahdi, Ali Jafer and Ali Alheeti, Khattab M. and Mohd Satar, Nurhizam Safie and Hassan Abdalla Hashim, Aisha (2024) Empowering Smart Homes with Fog computing for IoT connectivity. In: 2024 International Conference on Decision Aid Sciences and Applications (DASA)., 11-12 December 2024, Bahrain.

PDF - Published Version Restricted to Registered users only Download (577kB) | Request a copy

Abstract

Innovative grid technology leverages Information and Communication Technology (ICT) to enhance energy efficiency and mitigate losses. This paper introduces a “novel three-tier hierarchical framework for smart homes within the Internet of Things (IoT)” ecosystem, addressing the current shortage of intelligent solutions that underutilize IoT advantages. Our framework's primary objective is to elevate smart homes to the microgrid level, enabling the seamless integration from the microgrid's renewable distributed energy sources and attaining maximum energy efficiency. In addition to traditional data processing, we propose the application of fog computing in smart homes. Through a rigorous simulation using real smart meter datasets, our study demonstrates that fog computing, mainly when using predictive filtering, may drastically cut down on the amount of data being sent and the load on the home's network. This innovation holds immense potential for revolutionizing energy management and resource allocation in the context of smart homes, thus contributing to a sustainable and efficient future. This research represents a critical step towards harnessing the power of IoT and fog computing in smart grids and homes, offering a promising path towards more intelligent, eco-friendly, and energy-efficient living spaces.

Item Type:	Proceeding Paper (Plenary Papers)
Additional Information:	2523/119471
Uncontrolled Keywords:	smart grid, internet of things, fog computing, smart home, energy optimization, data reduction.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User:	Prof. Dr. Aisha Hassan Abdalla Hashim
Date Deposited:	14 Feb 2025 13:13
Last Modified:	14 Feb 2025 13:13
URI:	http://irep.iium.edu.my/id/eprint/119471

Actions (login required)

View Item