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一种用于智能控制系统的基于物联网的新型传感器网络架构。

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

作者信息

Khan Murad, Silva Bhagya Nathali, Han Kijun

机构信息

School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Korea.

出版信息

Sensors (Basel). 2017 Feb 9;17(2):332. doi: 10.3390/s17020332.

DOI:10.3390/s17020332
PMID:28208787
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5336084/
Abstract

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.

摘要

物联网(WoT)在以更透明、有效的方式呈现与物联网相连的对象方面发挥着重要作用。因此,它实现了用户与智能设备之间无缝且无处不在的网络通信。考虑到物联网的重要性,我们提出了一种基于物联网的新兴传感器网络(WoT-ESN),它从传感器收集数据,将传感器数据路由到网络,并采用代表性状态转移(REST)架构将智能设备集成到网络中。引入了智能家居场景来评估所提出的WoT-ESN架构。通过对各种家用电器的能耗、设备发现和响应时间性能进行计算机模拟来测试智能家居场景。模拟结果表明,所提出的方案显著优化了家用电器的能耗和设备的响应时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/6c5588bc5e46/sensors-17-00332-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/58bf685300e8/sensors-17-00332-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/6801b98cbb06/sensors-17-00332-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/9f0b5ef81329/sensors-17-00332-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/603d800380cf/sensors-17-00332-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/0f165f761b7b/sensors-17-00332-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/d8cb2fcd5771/sensors-17-00332-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/8eb52b63ecbf/sensors-17-00332-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/c88cb7a6d619/sensors-17-00332-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/6c5588bc5e46/sensors-17-00332-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/58bf685300e8/sensors-17-00332-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/6801b98cbb06/sensors-17-00332-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/9f0b5ef81329/sensors-17-00332-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/603d800380cf/sensors-17-00332-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/0f165f761b7b/sensors-17-00332-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/d8cb2fcd5771/sensors-17-00332-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/8eb52b63ecbf/sensors-17-00332-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/c88cb7a6d619/sensors-17-00332-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf24/5336084/6c5588bc5e46/sensors-17-00332-g009.jpg

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