A Multi-Protocol Home Automation System Using Smart Gateway

被引:0
作者
Sugandh Kumar Chaudhary
Syed Yousuff
N. P. Meghana
T. S. Ashwin
Ram Mohana Reddy Guddeti
机构
[1] National Institute of Technology Karnataka,
来源
Wireless Personal Communications | 2021年 / 116卷
关键词
Bluetooth; Fall detection; Health monitoring; Home automation; Neural network; OpenHAB; Smart homes; Wearable device; Wi-Fi; Zigbee;
D O I
暂无
中图分类号
学科分类号
摘要
Smart Home is one of the most established applications of the Internet of Things. Almost every equipment we use in our daily life—appliances, electric lights, electrical outlets, heating, and cooling systems-connected to a remotely controllable network, giving the user’s ability to remotely control and monitor the house, save energy without compromising on comfort and ultimately improve the quality of experience of staying in the house. We present a cost-effective system and address a major challenge that the industry faces today-Protocol Compatibility. To address the challenge, we make use of separate gateways/bridges for each network and an open-source home automation framework called OpenHAB, where each bridge links with a single master Wi-Fi gateway, providing a single window of control through an Application or a web interface for an integrated Smart Home. We integrate an elderly health monitoring device-Beehealth with OpenHAB; addressing the paramount need of a portable, accurate, and efficient health monitoring and fall detection device. We present two methods for fall detection, namely: threshold-based and Neural Network-based, with the latter resulting in 94% accuracy for fall detection. We evaluate the Smart Home devices on parameters like syncing time, battery life, recharge time, deployability, and cost.
引用
收藏
页码:2367 / 2390
页数:23
相关论文
共 49 条
  • [1] Mastorakis G(2014)Fall detection system using Kinect’s infrared sensor Journal of Real-Time Image Processing 9 635-646
  • [2] Makris D(2016)Classification of human fall from activities of daily life using joint measurements Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 8 145-149
  • [3] Nizam Y(2016)Camera-based fall detection using real-world versus simulated data: How far are we from the solution? Journal of Ambient Intelligence and Smart Environments 8 149-168
  • [4] Mohd MNH(2011)Internet of things: Applications and challenges in technology and standardization Wireless Personal Communications 58 49-69
  • [5] Jamil MMA(2018)Intelligent monitoring system based on internet of things Wireless Personal Communications 102 1521-1537
  • [6] Debard G(2014)Power consumption monitoring system for Indian homes Wireless Personal Communications 76 409-418
  • [7] Bandyopadhyay D(2019)IoT technology, applications and challenges: A contemporary survey Wireless Personal Communications 108 363-388
  • [8] Sen J(2016)eWALL: An intelligent caring home environment offering personalized context-aware applications based on advanced sensing Wireless Personal Communications 87 1093-1111
  • [9] Tang J(2019)A comprehensive review of wireless sensor networks based air pollution monitoring systems Wireless Personal Communications 108 2499-2515
  • [10] Dong T(2018)A health gateway for mobile monitoring in nursing home Wireless Personal Communications 102 1573-1587