Energy harvesting has emerged as a promising solution for sustainable and efficient power sources in Internet of Things and healthcare wearable sensor systems. These systems play a crucial role in real-time health monitoring and intervention. However, their reliance on traditional batteries with limited lifespans poses a practical challenge. This dissertation delves into the investigation of two primary energy harvesting systems. The first system utilizes a single photovoltaic panel to capture abundant solar energy during daylight hours. This captured energy is then converted for recharging the batteries of sensors or directly powering devices. This approach is particularly effective in outdoor environments and regions with ample sunlight. The initial system requires approximately 14.16 hours to achieve a full battery charge with a capacity of 750mAh. In contrast, the second system employs a parallel configuration with two photovoltaic panels, enhancing energy harvesting efficiency through increased exposure to sunlight and optimized energy capture. The second system significantly reduces the charging time to approximately 7.1 hours for a 750mAh capacity battery. The battery lifetime for the first scenario is 7.5 hours, whereas for the second scenario, it extends to 7.9 hours. Dissertation outcomes indicate that the explored energy harvesting systems, especially the parallel configuration with two photovoltaic panels, demonstrate notable improvements in charging efficiency and battery lifetime. The reduced charging time and extended battery lifetime contribute to the practicality and effectiveness of these systems in powering Internet of Things healthcare wearable sensors.