Abstract

In the expanding field of the Internet of Things (Io'T), wireless channel estimation is a significant challenge. This is specifically true for low-power IoT (LP-IoT) communication, where efficiency and accuracy are extremely important. This research establishes two distinct LP-IoT wireless channel estimation models using Artificial Neural Networks (ANN): a Feature-based ANN model and a Sequence-based ANN model. Both models have been constructed to enhance LP-IoT communication by lowering the estimation error in the LP-IoT wireless channel. The Feature-based model aims to capture complex patterns of measured Received Signal Strength Indicator (RSSI) data using environmental characteristics. The Sequence-based approach utilises predetermined categorisation techniques to estimate the RSSI sequence of specifically selected environment characteristics. The findings demonstrate that our suggested approaches attain remarkable precision in channel estimation, with an improvement in MSE of 88.29% of the Feature-based model and 97.46% of the Sequence-based model over existing research. Additionally, the comparative analysis of these techniques with traditional and other Deep Learning (DL)-based techniques also highlights the superior performance of our developed models and their potential in real-world IoT applications.

Original languageEnglish
Title of host publication2024 International Conference on Electrical, Computer and Energy Technologies (ICECET)
Place of PublicationSydney, Australia
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9798350395914
ISBN (Print)9798350395921
DOIs
Publication statusPublished - 2024
Event4th International Conference on Electrical, Computer and Energy Technologies 2024: ICECET 2024 - Radisson Blu Plaza Hotel, Sydney, Australia
Duration: 25 Jul 202427 Jul 2024
https://www.icecet.com/2024/
https://web.archive.org/web/20240726045804/https://www.icecet.com/prg_p.pdf (Program)
https://web.archive.org/web/20240725171923/https://www.icecet.com/prg_o.pdf (Online program)
https://ieeexplore-ieee-org.ezproxy.csu.edu.au/xpl/conhome/10697983/proceeding (Proceedings)

Publication series

NameInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2024

Conference

Conference4th International Conference on Electrical, Computer and Energy Technologies 2024
Country/TerritoryAustralia
CitySydney
Period25/07/2427/07/24
OtherThe 4th International Conference on Electrical, Computer and Energy Technologies (ICECET) is a multidisciplinary, peer-reviewed international conference that provides a forum for the exchange of latest technical information, the dissemination of the high-quality research results, the presentation of the new developments in the area, and the debate and shaping of future directions and priorities. ICECET aims to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Electrical, Computer and Energy Technologies.
Internet address

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