Incremental Conductance INC-MPPT Based Optimization of Solar Energy Harvesting System for WSN Nodes
Solar energy is the source of energy that is both environmentally friendly and sustainable. Recently, research in the Internet of Things has focused on the application of wireless sensor networks (WSN) using solar energy collecting techniques. The energy stored in the WSN node battery is negligible, and depending on the working duty cycle, it may only maintain its capacity for a few days. Our research presents a new SEH approach that we propose for use with energy-constrained wireless sensor network nodes. Solar Energy Harvesting Wireless Sensor Network (SEHWSN) nodes are typically able to continue operating for a considerable amount of time. In the past, the process of collecting solar energy was established by employing the method of P&O Maximum Power Point Tracking (MPPT), which produced very favorable outcomes because of its effectiveness. Nevertheless, the effects that INC (Incremental Conductance) produces are superior to those that P&O produces. For the purpose of applying SEHWSN, we are utilizing the INC-MPPT technique, and we are comparing it to the methodology of P&O-MPPT. The P&O-MPPT has a total efficiency of 89.80%, while the INC-MPPT has 93.37%.
Authors
- Anil Kumar (ORCID: https://orcid.org/0000-0003-3566-1370)
- Navin Prakash (ORCID: https://orcid.org/0000-0001-9241-2624)
- Sunil Kumar (ORCID: https://orcid.org/0000-0002-9438-0635)
- Anju Mishra
- Saurav Chandra
Institutions
- Indian Institute of Technology Roorkee (IN)
- Institute of Management Technology (IN)
Publication Details
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1109/pdgc64653.2024.10984098
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00