A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks
The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/2/407 |
| _version_ | 1811304615882260480 |
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| author | Omar A. Saraereh Amer Alsaraira Imran Khan Bong Jun Choi |
| author_facet | Omar A. Saraereh Amer Alsaraira Imran Khan Bong Jun Choi |
| author_sort | Omar A. Saraereh |
| collection | DOAJ |
| description | The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices. |
| first_indexed | 2024-04-13T08:10:37Z |
| format | Article |
| id | doaj.art-9c5c91657c904aafbc3f3154de2526d1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:10:37Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9c5c91657c904aafbc3f3154de2526d12022-12-22T02:55:02ZengMDPI AGSensors1424-82202020-01-0120240710.3390/s20020407s20020407A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) NetworksOmar A. Saraereh0Amer Alsaraira1Imran Khan2Bong Jun Choi3Department of Electrical Engineering, Hashemite University, Zarqa 13133, JordanCollege of Engineering and Technology, American University of the Middle East, KuwaitDepartment of Electrical Engineering, Engineering University Peshawar, Peshawar 814, PakistanSchool of Computer Science and Engineering, Soongsil University, Seoul 06978, KoreaThe Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.https://www.mdpi.com/1424-8220/20/2/407internet-of-things (iot)energy harvestinglifecyclethermoelectric generator (teg) |
| spellingShingle | Omar A. Saraereh Amer Alsaraira Imran Khan Bong Jun Choi A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks Sensors internet-of-things (iot) energy harvesting lifecycle thermoelectric generator (teg) |
| title | A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks |
| title_full | A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks |
| title_fullStr | A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks |
| title_full_unstemmed | A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks |
| title_short | A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks |
| title_sort | hybrid energy harvesting design for on body internet of things iot networks |
| topic | internet-of-things (iot) energy harvesting lifecycle thermoelectric generator (teg) |
| url | https://www.mdpi.com/1424-8220/20/2/407 |
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