Energy can be obtained, harnessed, and stored from external sources such as solar, thermal, wind, and vibration for use in small, wireless autonomous devices and sensor networks. Energy harvesting has emerged as a favored method for powering low-power electronic systems. Photovoltaic energy harvesting wireless technologies are especially beneficial compared to traditional wired or battery-only powered sensor setups. Similar to how renewable energy systems operate, the accompanying switching power converters in these devices can be optimized to extract maximum power. The primary goal of this chapter is to develop and optimize a solar energy harvesting method. This proposes a novel energy harvesting technique that adjusts the duty cycle of the converter in response to changes in the maximum power point (MPP) to enhance the system’s power output. The optimization uses a fuzzy logic-based perturb and observe technique, which has been modeled and evaluated in Matlab/Simulink.