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

Sensors

Wanqing Wu¹  Sandeep Pirbhulal¹  Heye Zhang¹  Yuan-Ting Zhang²  Hemant Ghayvat³  Subhas Chandra Mukhopadhyay³  Md Eshrat E Alahi³ 

[1] Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Shenzhen 518055, China;Joint Research Centre for Biomedical Engineering, Chinese University of Hong Kong, Shatin N.T., Hong Kong, China;School of Engineering and Advanced Technology, Massey University, Palmerston North 4442, New Zealand;

关键词: energy-efficient;    home automation;    internet of things;    security;    wireless sensor networks;   

DOI  :  10.3390/s17010069

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown