Three Levels of Statistical data for QoS-enabled IoT network with Poisson and Beta Distribution

In our research, we generate datasets utilizing two key statistical models: the Poisson Process Distribution and the Beta Distribution. These models are employed to simulate and analyze various aspects of Quality of Service (QoS) in Internet of Things (IoT) environments, with a particular emphasis on wireless communications. By leveraging these distributions, our study aims to optimize resource allocation, improve reliability, and ensure that QoS requirements are met in complex and dynamic wireless communication scenarios within IoT ecosystems. This approach allows for a deeper understanding of how to manage and enhance communication efficiency in IoT systems, which are increasingly integral to smart cities, healthcare, industrial automation, and other critical applications.