Next Article in Journal
Learning Carbohydrate Digestion and Insulin Absorption Curves Using Blood Glucose Level Prediction and Deep Learning Models
Previous Article in Journal
Lung Auscultation Using the Smartphone—Feasibility Study in Real-World Clinical Practice

Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm

Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar 25000, Pakistan
Norwegian Colour and Visual Computing Laboratory, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, Norway
Intelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, Korea
Department of Informatics, Linnaeus University, 351 95 Växjö, Sweden
Author to whom correspondence should be addressed.
Academic Editor: Joel J. P. C. Rodrigues
Sensors 2021, 21(14), 4932;
Received: 21 May 2021 / Revised: 14 July 2021 / Accepted: 15 July 2021 / Published: 20 July 2021
(This article belongs to the Section Internet of Things)
Smart home applications are ubiquitous and have gained popularity due to the overwhelming use of Internet of Things (IoT)-based technology. The revolution in technologies has made homes more convenient, efficient, and even more secure. The need for advancement in smart home technology is necessary due to the scarcity of intelligent home applications that cater to several aspects of the home simultaneously, i.e., automation, security, safety, and reducing energy consumption using less bandwidth, computation, and cost. Our research work provides a solution to these problems by deploying a smart home automation system with the applications mentioned above over a resource-constrained Raspberry Pi (RPI) device. The RPI is used as a central controlling unit, which provides a cost-effective platform for interconnecting a variety of devices and various sensors in a home via the Internet. We propose a cost-effective integrated system for smart home based on IoT and Edge-Computing paradigm. The proposed system provides remote and automatic control to home appliances, ensuring security and safety. Additionally, the proposed solution uses the edge-computing paradigm to store sensitive data in a local cloud to preserve the customer’s privacy. Moreover, visual and scalar sensor-generated data are processed and held over edge device (RPI) to reduce bandwidth, computation, and storage cost. In the comparison with state-of-the-art solutions, the proposed system is 5% faster in detecting motion, and 5 ms and 4 ms in switching relay on and off, respectively. It is also 6% more efficient than the existing solutions with respect to energy consumption. View Full-Text
Keywords: smart home; home automation; cloud computing; edge computing; raspberry pi; internet of things smart home; home automation; cloud computing; edge computing; raspberry pi; internet of things
Show Figures

Figure 1

MDPI and ACS Style

Yar, H.; Imran, A.S.; Khan, Z.A.; Sajjad, M.; Kastrati, Z. Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm. Sensors 2021, 21, 4932.

AMA Style

Yar H, Imran AS, Khan ZA, Sajjad M, Kastrati Z. Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm. Sensors. 2021; 21(14):4932.

Chicago/Turabian Style

Yar, Hikmat, Ali Shariq Imran, Zulfiqar Ahmad Khan, Muhammad Sajjad, and Zenun Kastrati. 2021. "Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm" Sensors 21, no. 14: 4932.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop