Modelling and Analysis of Data Flows in IoT Networks

The article delves into the contemporary challenges facing the digital industry's evolution, particularly within the realm of Internet of Things (IoT) technology application. The authors pinpoint three pivotal hurdles that IoT endeavors to tackle: expediting notification processes, streamlining daily tasks, and enhancing industrial optimization. Moreover, the paper underscores the significance of adept channel utilization and traffic analysis for the fruitful implementation of IoT. Notably, emphasis is placed on protocol and transmission method selection, alongside the imperative for traffic modeling to discern optimal solutions. The focal point of the study revolves around the traffic transmitted by IoT devices, with a keen focus on formulating models to gauge its efficacy. The paper's objective is to scrutinize the methods, models, and algorithms pertinent to assessing traffic efficiency within IoT networks. To accomplish this aim, the authors outline three primary tasks: delving into IoT technologies, exploring their application domains, and mathematically modeling traffic flow within IoT networks. Methodologically, the research draws upon systems and network systems theory, complemented by algorithmic modeling techniques. The resultant findings encompass a comprehensive analysis of IoT technologies, delineation of their application spheres, and the development of mathematical models elucidating traffic flow within IoT networks.