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Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT)

Emmanuel Ekwueme, Anwar Ali Orcid Logo

World Academy of Science, Engineering and TechnologyInternational Journal of Electronics and Communication Engineering, Volume: 19, Issue: 6

Swansea University Author: Anwar Ali Orcid Logo

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Abstract

As the Internet of Things (IoT) continues to expand, the demand for battery-free devices is increasing, which is crucial for the efficiency of 5G networks and eco-friendly industrial systems. The solution is a device that operates indefinitely, requires no maintenance, and has no negative impact on...

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Published in: World Academy of Science, Engineering and TechnologyInternational Journal of Electronics and Communication Engineering
Published: 2025
URI: https://cronfa.swan.ac.uk/Record/cronfa70082
first_indexed 2025-07-31T13:03:16Z
last_indexed 2025-10-07T04:20:43Z
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spelling 2025-10-06T13:28:51.3714124 v2 70082 2025-07-31 Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT) f206105e1de57bebba0fd04fe9870779 0000-0001-7366-9002 Anwar Ali Anwar Ali true false 2025-07-31 ACEM As the Internet of Things (IoT) continues to expand, the demand for battery-free devices is increasing, which is crucial for the efficiency of 5G networks and eco-friendly industrial systems. The solution is a device that operates indefinitely, requires no maintenance, and has no negative impact on the ambient environment. One promising approach to achieve this is energy harvesting, which involves capturing energy from the ambient environment and transferring it to power devices. This method can revolutionize industries; such as manufacturing, agriculture, and healthcare by enabling real-time data collection and analysis, reducing maintenance costs, improving efficiency, and contributing to a future with lower carbon emissions. This research explores various energy harvesting techniques, focusing on radio frequencies (RF) and multiple energy sources. It examines RF-based and solar methods for powering batteryfree sensors, low-power circuits, and IoT devices. The study investigates a hybrid RF-solar harvesting circuit designed for remote sensing devices. The proposed system includes distinct RF and solar energy harvester circuits, with the RF harvester operating at 2.45 GHz and the solar harvester utilizing a maximum power point tracking (MPPT) algorithm to maximize efficiency. Conference Paper/Proceeding/Abstract World Academy of Science, Engineering and TechnologyInternational Journal of Electronics and Communication Engineering 19 6 25 7 2025 2025-07-25 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2025-10-06T13:28:51.3714124 2025-07-31T13:54:55.7461215 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Emmanuel Ekwueme 1 Anwar Ali 0000-0001-7366-9002 2 70082__34894__74920725cc0c403b801f8f2bb756f476.pdf 70082.pdf 2025-07-31T14:02:08.1516515 Output 1580999 application/pdf Version of Record true © 2025 World Academy of Science, Engineering and Technology. Released under the terms of a Creative Commons Attribution 4.0 International License. true eng https://creativecommons.org/licenses/by/4.0/
title Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT)
spellingShingle Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT)
Anwar Ali
title_short Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT)
title_full Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT)
title_fullStr Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT)
title_full_unstemmed Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT)
title_sort Multisource (RF and Solar) Energy Harvesting for Internet of Things (IoT)
author_id_str_mv f206105e1de57bebba0fd04fe9870779
author_id_fullname_str_mv f206105e1de57bebba0fd04fe9870779_***_Anwar Ali
author Anwar Ali
author2 Emmanuel Ekwueme
Anwar Ali
format Conference Paper/Proceeding/Abstract
container_title World Academy of Science, Engineering and TechnologyInternational Journal of Electronics and Communication Engineering
container_volume 19
container_issue 6
publishDate 2025
institution Swansea University
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 1
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description As the Internet of Things (IoT) continues to expand, the demand for battery-free devices is increasing, which is crucial for the efficiency of 5G networks and eco-friendly industrial systems. The solution is a device that operates indefinitely, requires no maintenance, and has no negative impact on the ambient environment. One promising approach to achieve this is energy harvesting, which involves capturing energy from the ambient environment and transferring it to power devices. This method can revolutionize industries; such as manufacturing, agriculture, and healthcare by enabling real-time data collection and analysis, reducing maintenance costs, improving efficiency, and contributing to a future with lower carbon emissions. This research explores various energy harvesting techniques, focusing on radio frequencies (RF) and multiple energy sources. It examines RF-based and solar methods for powering batteryfree sensors, low-power circuits, and IoT devices. The study investigates a hybrid RF-solar harvesting circuit designed for remote sensing devices. The proposed system includes distinct RF and solar energy harvester circuits, with the RF harvester operating at 2.45 GHz and the solar harvester utilizing a maximum power point tracking (MPPT) algorithm to maximize efficiency.
published_date 2025-07-25T05:29:55Z
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score 11.089386

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