Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm
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 d...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/14/4932 |
| _version_ | 1797526043570995200 |
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| author | Hikmat Yar Ali Shariq Imran Zulfiqar Ahmad Khan Muhammad Sajjad Zenun Kastrati |
| author_facet | Hikmat Yar Ali Shariq Imran Zulfiqar Ahmad Khan Muhammad Sajjad Zenun Kastrati |
| author_sort | Hikmat Yar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T09:23:35Z |
| format | Article |
| id | doaj.art-3ed8fa0f51c245e48952d5688bf8d15b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T09:23:35Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3ed8fa0f51c245e48952d5688bf8d15b2023-11-22T04:58:12ZengMDPI AGSensors1424-82202021-07-012114493210.3390/s21144932Towards Smart Home Automation Using IoT-Enabled Edge-Computing ParadigmHikmat Yar0Ali Shariq Imran1Zulfiqar Ahmad Khan2Muhammad Sajjad3Zenun Kastrati4Digital Image Processing Laboratory, Islamia College Peshawar, Peshawar 25000, PakistanNorwegian Colour and Visual Computing Laboratory, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), 2815 Gjøvik, NorwayIntelligent Media Laboratory, Digital Contents Research Institute, Sejong University, Seoul 143-747, KoreaDigital Image Processing Laboratory, Islamia College Peshawar, Peshawar 25000, PakistanDepartment of Informatics, Linnaeus University, 351 95 Växjö, SwedenSmart 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.https://www.mdpi.com/1424-8220/21/14/4932smart homehome automationcloud computingedge computingraspberry piinternet of things |
| spellingShingle | Hikmat Yar Ali Shariq Imran Zulfiqar Ahmad Khan Muhammad Sajjad Zenun Kastrati Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm Sensors smart home home automation cloud computing edge computing raspberry pi internet of things |
| title | Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm |
| title_full | Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm |
| title_fullStr | Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm |
| title_full_unstemmed | Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm |
| title_short | Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm |
| title_sort | towards smart home automation using iot enabled edge computing paradigm |
| topic | smart home home automation cloud computing edge computing raspberry pi internet of things |
| url | https://www.mdpi.com/1424-8220/21/14/4932 |
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