Abstract—LoRaWan (Long Range Wide Area Network) is a low-power wireless technology with an extended range. It is utilized frequently in Internet of Things (IoT) applications. Consequently, numerous IoT applications and solutions incorporate mobility. However, the increasing number of End Devices (ED) and mobility models of nodes impact the network performance of LoRaWAN (packet size, latency, energy consumption, and Packet Delivery Ratio (PDR)). This paper studies the influence of mobility models on the performance of LoRaWAN by using different scenarios under extensive simulations with the Network Simulator (NS3), including the random waypoint model, the Gauss Markov model, and the constant position model. The results indicate that the manner in which nodes move significantly impacts network performance; for instance, the Gauss-Markov model maintains a high level of network performance. To validate the simulation results, Extensive experiments have been conducted with the Lora end device CubeCell HTCC-AB01 model in a variety of scenarios by analyzing the RSSI (Received Signal Strength Indicator) level in urban and rural areas using a large number of trajectories.