Towards Realistic Testing of Algorithms and Protocols in IoT Through a Novel Mobility Model

The increasing integration of Internet of Things (IoT) devices into networking requires realistic scenarios to accurately evaluate algorithms and protocols under mobility. While existing mobility models primarily focus on humancentric movement, the unique mobility characteristics of IoT devices remain underrepresented, thereby limiting the reliability of simulation-based studies. Therefore, this work presents an improved version of the Small Internet of Things Devices in Motion mobility model, specifically designed to capture device-centric mobility, named IoT-SWIM. The model introduces adjustable behavioral parameters that enable the simulation of various mobility patterns to generate traces, which can be tailored to specific IoT scenarios. An evaluation demonstrates the model's ability to produce realistic movement and highlights its potential for testing and improving algorithms and protocols in IoT-driven Software Defined Systems (SDS), spanning applications that range from civilian environments to tactical and military contexts.