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一种基于无线传感器网络的新型安全物联网智能家居自动化系统。

A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network.

作者信息

Pirbhulal Sandeep, Zhang Heye, E Alahi Md Eshrat, Ghayvat Hemant, Mukhopadhyay Subhas Chandra, Zhang Yuan-Ting, Wu Wanqing

机构信息

Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China.

Research Center for Biomedical Information Technology, Shenzhen Institutes of Advanced Technology, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China.

出版信息

Sensors (Basel). 2016 Dec 30;17(1):69. doi: 10.3390/s17010069.

DOI:10.3390/s17010069
PMID:28042831
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5298642/
Abstract

Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to the internet. Hence, major challenges of WSNs include: (i) how to efficiently utilize small size and low-power nodes to implement security during data transmission among several sensor nodes; (ii) how to resolve security issues associated with the harsh and complex environmental conditions during data transmission over a long coverage range. In this study, a secure IoT-based smart home automation system was developed. To facilitate energy-efficient data encryption, a method namely Triangle Based Security Algorithm (TBSA) based on efficient key generation mechanism was proposed. The proposed TBSA in integration of the low power Wi-Fi were included in WSNs with the Internet to develop a novel IoT-based smart home which could provide secure data transmission among several associated sensor nodes in the network over a long converge range. The developed IoT based system has outstanding performance by fulfilling all the necessary security requirements. The experimental results showed that the proposed TBSA algorithm consumed less energy in comparison with some existing methods.

摘要

无线传感器网络(WSN)在包括智能家居、医疗保健、环境监测和国土安全在内的多个应用领域中,相较于传统方法具有显著优势。无线传感器网络与互联网协议(IP)集成,以开发物联网(IoT),将日常生活物品连接到互联网。因此,无线传感器网络面临的主要挑战包括:(i)如何有效利用小尺寸、低功耗节点在多个传感器节点之间的数据传输过程中实现安全;(ii)如何解决在长覆盖范围内数据传输期间与恶劣复杂环境条件相关的安全问题。在本研究中,开发了一种基于安全物联网的智能家居自动化系统。为促进节能数据加密,提出了一种基于高效密钥生成机制的名为三角安全算法(TBSA)的方法。所提出的TBSA与低功耗Wi-Fi集成,被纳入与互联网相连的无线传感器网络中,以开发一种新型的基于物联网的智能家居,该智能家居能够在网络中多个相关传感器节点之间进行长距离的数据安全传输。所开发的基于物联网的系统通过满足所有必要的安全要求而具有出色的性能。实验结果表明,与一些现有方法相比,所提出的TBSA算法消耗的能量更少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/b1285aa6797c/sensors-17-00069-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/0d0a47544eba/sensors-17-00069-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/3316435483d1/sensors-17-00069-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/75c00a43525d/sensors-17-00069-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/742ff1eba11a/sensors-17-00069-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/f1dd64164766/sensors-17-00069-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/a162d80f1504/sensors-17-00069-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/3bd8c986b1cf/sensors-17-00069-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/2f038b598388/sensors-17-00069-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/cefbcfd15f95/sensors-17-00069-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/b1285aa6797c/sensors-17-00069-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/0d0a47544eba/sensors-17-00069-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/3316435483d1/sensors-17-00069-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/75c00a43525d/sensors-17-00069-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/742ff1eba11a/sensors-17-00069-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/f1dd64164766/sensors-17-00069-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/a162d80f1504/sensors-17-00069-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/3bd8c986b1cf/sensors-17-00069-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/2f038b598388/sensors-17-00069-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/cefbcfd15f95/sensors-17-00069-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/036d/5298642/b1285aa6797c/sensors-17-00069-g010.jpg

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