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Terahertz communication channel of healthcare applications: Performance analysis and improvement of internet of nano health things.

Authors :
Abedi, Abbas Fadhil Abdulabbas
Goh, Patrick
Alkhayyat, Ahmed
Source :
Computers & Electrical Engineering. May2023, Vol. 108, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• A new A new Internet of Nano Health Things (IoNHT) was proposed and designed for Nano-body Sensor Network (NBSN) considering signal journey from body to cloud. • A Best Path Selection in IoNHT (BPS-IoNHT) is proposed using single or two nano-master nodes. • A new relay selection criteria and path selection are proposed based on number of nano-master node and nano-sensors node and the it is mathematically formulated. • Outage probability has been analysed and formulated of the A Best Path Selection in IoNHT (BPS-IoNHT). • A new metric has been analysed and formulated, bandwidth efficiency of the proposed A Best Path Selection in IoNHT (BPS-IoNHT) • The outage probability has been reduced by 29%, and bandwidth efficiency improved by 35% compared to recent work. Terahertz communication inside the human body uses minimal power; therefore, the destination may not receive the signal properly due to losses caused by molecular absorption and path loss. In this paper, we developed a new cooperative communication for the Internet of Nano Health Things (IoNHT), named the Best Path Selection in IoNHT (BPS-IoNHT). In addition, an innovative communication scenario for Nano Body Sensors Networks (NBSN) has been proposed. The proposed protocol has been thoroughly analysed and mathematically formulated regarding path loss, outage probability and bandwidth efficiency. The objective of the work is to reduce the outage probability and increase bandwidth efficiency. The results show that the proposed protocol performs better than recently published work. The outage probability has been reduced by 29%, and bandwidth efficiency improved by 35% compared to recent work. [Display omitted] [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00457906
Volume :
108
Database :
Academic Search Index
Journal :
Computers & Electrical Engineering
Publication Type :
Academic Journal
Accession number :
163995583
Full Text :
https://doi.org/10.1016/j.compeleceng.2023.108669