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Terahertz communication channel of healthcare applications: Performance analysis and improvement of internet of nano health things.
- 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]
- Subjects :
- *BODY sensor networks
*INTERNET
*SENSOR networks
Subjects
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