The Enhanced Optimization Model for Low Cost Power Backup Model for Solar Energy Harvesting in WSN

Wireless Sensor Networks (WSNs) are increasingly being used for off-grid distributed applications such as monitoring in remote areas where grid power is not available. WSNs are increasingly being powered by renewable energy sources for continuous operation. Solar energy is a cost-effective energy source for extended operation of WSNs. In this study, a Low-Cost Power Backup Model for Solar Energy Harvesting in WSN is proposed in order to maintain the network's operation during very cloudy conditions or, in other words, during extended periods of darkness. The proposed model consists of four main components: a rechargeable battery, a solar panel, a DC-DC converter, and a voltage regulator. The battery, which is utilized as a power storage source, is charged by the solar panel whenever sunlight is available. The DC-DC converter, which consists of a DC-DC step-up converter, is used to increase the voltage from the battery to a level that can be further regulated by the voltage regulator for powering the network. The Low Cost Power Backup Model for Solar Energy Harvesting in WSN performs remarkably in various test cases and shows a high efficiency, excellent cost effectiveness, and better performance compared to other commercially available products. The model can also be used for other applications where low cost, low battery usage and reliable power backup are necessary.