The Internet of Things (IoT) is a cutting-edge technology that enhances user experience and adds intelligence to everyday objects. This work presents the modeling and simulation of Photovoltaic (PV) cells and modules using both Quite Universal Circuit Simulation (QUCS) software and MATLAB Simulink, with a focus on the effects of environmental factors such as solar radiation and temperature on PV performance. The study also incorporates Internet of Things (IoT) technology to monitor a photovoltaic solar panel system, enhancing system intelligence and user experience. The research includes the implementation of a Maximum Power Point Tracking (MPPT) algorithm in MATLAB Simulink to optimize the efficiency of voltage and current output. Real-time data, including voltage, current, light intensity, and temperature, is displayed on an LCD screen, and the system issues warnings when faults are detected. Additionally, a new mathematical model for PV power generation is introduced, which accurately predicts PV performance characteristics under varying conditions. This model is particularly useful for solar cells used as power sources for wireless sensors in IoT applications, offering practical insights and guidance for integrating solar energy into IoT systems.