Design and Analysis of an Innovative Energy Harvesting Solution for IoT Sensor Node Deployment
| Authors | S. Kalaivani, C. Tharini , S.V. Anand |
| Affiliations |
Department of Electronics and Communication Engineering, B.S.A Crescent Institute of Science and Technology, Chennai, Tamil Nadu, India |
| Е-mail | skalaivani@crescent.education |
| Issue | Volume 16, Year 2024, Number 5 |
| Dates | Received 15 June 2024; revised manuscript received 14 October 2024; published online 30 October 2024 |
| Citation | S. Kalaivani, C. Tharini, S.V. Anand, J. Nano- Electron. Phys. 16 No 5, 05015 (2024) |
| DOI | https://doi.org/10.21272/jnep.16(5).05015 |
| PACS Number(s) | 07.05.Tp, 07.07.Df |
| Keywords | Energy harvesting, Wireless sensor network, Sensor node, Energy efficiency. |
| Annotation |
Energy consumption is a problem for sensor networks even with different ways to conserve energy. Since their energy reserves run out in less than a year, wireless sensors that rely on batteries will eventually need to be replaced. Longer battery lifespan are made possible by technological advancements like lithium thionyl chloride, however disposing of batteries has an adverse effect on the environment. For wireless sensor networks, energy harvesting especially solar energy becomes a desirable substitute in nations like Finland, Mexico, China, and the United States. Rechargeable batteries and low-energy harvester circuits combined with small solar panels offer a sustainable, self-sustaining option for long-term network viability. Showcasing recent advancements in renewable energy technology, researchers and businesses are currently developing energy harvesting devices specifically designed for traditional battery-operated sensor networks. The focus of the proposed work is to develop a research strategy for assessing both present as well as potential energy harvesting technologies. In order to increase the lifespan of the Wireless Sensor Network, the main goals are to build an effective energy harvesting process and optimize sensor node task schedules. |
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List of References |
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