Novel data fusion scheme for enhanced user experiences in terahertz-enabled IoNT

Ali, Amjad, Bashir, Ali Kashif, Aazam, Muhammad, Dabel, Maryam M. Al, El-Sappagh, Shaker, Ali, Farman and Al-Fuqaha, Ala (2024) Novel data fusion scheme for enhanced user experiences in terahertz-enabled IoNT. IEEE Consumer Electronics Magazine. pp. 1-11. ISSN 2162-2256

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Official URL: https://doi.org/10.1109/MCE.2024.3457033

Abstract

The terahertz band, spanning from 100 GHz to 10 THz, has garnered significant attention for its potential to support ultra-high transmissions. Moreover, the Internet of Nano Things (IoNT) offers efficient data collection and analysis mechanisms to optimize nano systems performance for enhance users' experiences and comfort in daily life. In this paper, we explore the integration of IoNT and the terahertz band, envisioning ultra-high-speed transmissions in nano-communication systems for improved users' experiences. We introduce the key components of the IoNT networks based on terahertz band and discuss the challenges with respect to data fusion. Further, we propose an efficient data fusion scheme for the hierarchical IoNT networks and evaluate its performance using simulation under channel capacity, noise, path loss, and power control. We further provide comprehensive use cases in which the proposed method can be beneficial. Additionally, we discuss potential challenges, limitations, and future research directions related to our proposed solution and IoNT operating over terahertz bands.

Item Type:	Article (Article)
Peer-reviewed:	Yes
Date Deposited:	19 Sep 2024 09:28
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Additional Information:	© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Faculties > Science and Engineering > Department of Computing and Maths
URI:	https://mmu-uat.leaf.cosector.com/id/eprint/635674
DOI:	https://doi.org/10.1109/mce.2024.3457033
ISSN	2162-2256

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