Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex Environments

Many embedded systems are implemented for healthcare, and smart homes and spaces. These devices are generally designed for elderly care, for monitoring, surveillance, and collection information. As embedded systems are ubiquitous and pervasive in a smart home, office, or space, different layout affe...

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Main Author: Yang-Hsin Fan
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/18/4758
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spelling doaj-9379de879640422fbb4a360fb068f8ec2020-11-25T03:48:07ZengMDPI AGEnergies1996-10732020-09-01134758475810.3390/en13184758Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex EnvironmentsYang-Hsin Fan0Department of Computer Science and Information Engineering, National Taitung University, Taitung 95092, TaiwanMany embedded systems are implemented for healthcare, and smart homes and spaces. These devices are generally designed for elderly care, for monitoring, surveillance, and collection information. As embedded systems are ubiquitous and pervasive in a smart home, office, or space, different layout affects not only reduce the implementation cost but also the power density of electromagnetic waves. This study aimed to develop a multiple-embedded-system optimization layout to consume less electromagnetic wave power density and gain better communication strength. For smart offices, we analyzed the layout topology of <i>n</i>-shaped and <i>n</i>-shaped with door layout categories. On the basis of the location of each embedded system in a communication center via an <i>n</i>-shaped layout, we investigated the electromagnetic wave effect to the local, direct, and semidirect effects. Indirect and subindirect effects were also studied in the <i>n</i>-shaped layout with a door. In addition, we derived a set of formulas from the scope for the diverse effects to help users to quickly identify the scope of each effect. To verify the multiple-embedded-system optimization layout, 16 cooperating embedded systems with four test cases in a smart office were used to evaluate the diverse effects of electromagnetic wave power density and communication strength. Experiment results showed that the optimization layout consumed 3950 × 10<sup>−6</sup> W/m<sup>2</sup> electromagnetic wave power density.https://www.mdpi.com/1996-1073/13/18/4758embedded systemoptimization layoutelectromagnetic wave power density
collection DOAJ
language English
format Article
sources DOAJ
author Yang-Hsin Fan
spellingShingle Yang-Hsin Fan
Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex Environments
Energies
embedded system
optimization layout
electromagnetic wave power density
author_facet Yang-Hsin Fan
author_sort Yang-Hsin Fan
title Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex Environments
title_short Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex Environments
title_full Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex Environments
title_fullStr Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex Environments
title_full_unstemmed Multiple-Embedded-System Optimization Layout for Electromagnetic Wave Power Density in Complex Environments
title_sort multiple-embedded-system optimization layout for electromagnetic wave power density in complex environments
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-09-01
description Many embedded systems are implemented for healthcare, and smart homes and spaces. These devices are generally designed for elderly care, for monitoring, surveillance, and collection information. As embedded systems are ubiquitous and pervasive in a smart home, office, or space, different layout affects not only reduce the implementation cost but also the power density of electromagnetic waves. This study aimed to develop a multiple-embedded-system optimization layout to consume less electromagnetic wave power density and gain better communication strength. For smart offices, we analyzed the layout topology of <i>n</i>-shaped and <i>n</i>-shaped with door layout categories. On the basis of the location of each embedded system in a communication center via an <i>n</i>-shaped layout, we investigated the electromagnetic wave effect to the local, direct, and semidirect effects. Indirect and subindirect effects were also studied in the <i>n</i>-shaped layout with a door. In addition, we derived a set of formulas from the scope for the diverse effects to help users to quickly identify the scope of each effect. To verify the multiple-embedded-system optimization layout, 16 cooperating embedded systems with four test cases in a smart office were used to evaluate the diverse effects of electromagnetic wave power density and communication strength. Experiment results showed that the optimization layout consumed 3950 × 10<sup>−6</sup> W/m<sup>2</sup> electromagnetic wave power density.
topic embedded system
optimization layout
electromagnetic wave power density
url https://www.mdpi.com/1996-1073/13/18/4758
work_keys_str_mv AT yanghsinfan multipleembeddedsystemoptimizationlayoutforelectromagneticwavepowerdensityincomplexenvironments
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