Design and Performance Analysis of a Dynamic Channel Allocation Method for IoT Systems with Finite Number of Nodes and Heterogeneous Data Traffics

This paper presents the design, modeling, and analysis of a dynamic channel allocation method for IoT systems with a finite number of nodes and heterogeneous data traffic types. The proposed method effectively supports both real-time and non-real-time data transmission over a sample IoT networking scenario. The proposed dynamic channel allocation method was analytically modeled using a 2-dimensional continuous-time Markov chain, and its performance was evaluated in a sample IoT network scenario involving a finite number of IoT nodes. Additionally, a discrete event simulation model of the proposed model was developed. The analytical model results of the proposed channel allocation method were verified by comparing them with the simulation model results. In a network scenario with 12 channels, 1000 real-time and non-real-time users, and a total load of 10, the throughput was obtained as 4.534 for non-real-time nodes and 3.477 for real-time nodes. Furthermore, under the same load, the channel utilization is 18.892% for non-real-time nodes and 43.474% for real-time nodes. Thus, it has been demonstrated that the developed dynamic channel allocation method offers significant performance in IoT applications, particularly in the efficient transmission of heterogeneous data traffic.