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A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems

The Web of Things (WoT) plays an important role in the representation of the objects connected to the Internet of Things in a more transparent and effective way. Thus, it enables seamless and ubiquitous web communication between users and the smart things. Considering the importance of WoT, we propo...

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Detalles Bibliográficos
Autores principales: Khan, Murad, Silva, Bhagya Nathali, Han, Kijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336084/
https://www.ncbi.nlm.nih.gov/pubmed/28208787
http://dx.doi.org/10.3390/s17020332
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author Khan, Murad
Silva, Bhagya Nathali
Han, Kijun
author_facet Khan, Murad
Silva, Bhagya Nathali
Han, Kijun
author_sort Khan, Murad
collection PubMed
description The Web of Things (WoT) plays an important role in the representation of the objects connected to the Internet of Things in a more transparent and effective way. Thus, it enables seamless and ubiquitous web communication between users and the smart things. Considering the importance of WoT, we propose a WoT-based emerging sensor network (WoT-ESN), which collects data from sensors, routes sensor data to the web, and integrate smart things into the web employing a representational state transfer (REST) architecture. A smart home scenario is introduced to evaluate the proposed WoT-ESN architecture. The smart home scenario is tested through computer simulation of the energy consumption of various household appliances, device discovery, and response time performance. The simulation results show that the proposed scheme significantly optimizes the energy consumption of the household appliances and the response time of the appliances. 
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spelling pubmed-53360842017-03-16 A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems Khan, Murad Silva, Bhagya Nathali Han, Kijun Sensors (Basel) Article The Web of Things (WoT) plays an important role in the representation of the objects connected to the Internet of Things in a more transparent and effective way. Thus, it enables seamless and ubiquitous web communication between users and the smart things. Considering the importance of WoT, we propose a WoT-based emerging sensor network (WoT-ESN), which collects data from sensors, routes sensor data to the web, and integrate smart things into the web employing a representational state transfer (REST) architecture. A smart home scenario is introduced to evaluate the proposed WoT-ESN architecture. The smart home scenario is tested through computer simulation of the energy consumption of various household appliances, device discovery, and response time performance. The simulation results show that the proposed scheme significantly optimizes the energy consumption of the household appliances and the response time of the appliances.  MDPI 2017-02-09 /pmc/articles/PMC5336084/ /pubmed/28208787 http://dx.doi.org/10.3390/s17020332 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Khan, Murad
Silva, Bhagya Nathali
Han, Kijun
A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems
title A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems
title_full A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems
title_fullStr A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems
title_full_unstemmed A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems
title_short A Web of Things-Based Emerging Sensor Network Architecture for Smart Control Systems
title_sort web of things-based emerging sensor network architecture for smart control systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336084/
https://www.ncbi.nlm.nih.gov/pubmed/28208787
http://dx.doi.org/10.3390/s17020332
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