Advances in Internet of Things (IoT) and its applications in real life have revolutionalized the way human beings interact with machines, enabled the integration of sensors, devices, and systems to collect and exchange data. AI-driven intelligent systems in IoT rely heavily on statistical and mathematical modeling to analyze and interpret complex data, making informed decisions and taking actions. However, these systems face significant computational challenges that must be addressed to ensure efficient and effective operation. There is a great need to optimize these operations and processes, so that technology enabled human life can become much better. Researchers have made significant efforts to develop solutions that optimize the process of IoT data and its analysis process.