LAUSR

At present, the revolution of the Internet of things (IoT) is an area of technology that is growing exponentially. IoT has a significant impact on consumer products and is expected to dominate in a wide variety of areas such as business, industry, and governments. In high-density deployments of IoT systems, providing sufficient networking and computing infrastructure with reliable and low-latency communication links is a challenging task. This is owing to the resource allocation methods applied at the cell edge that do not guarantee fair and efficient resource partitioning when receiving different types of IoT traffic. Deployment of an efficient and fair resource-partitioning scheme for IoT devices is necessary to reduce the effects of IoT traffic on network performance. The main contribution of this paper is to design efficient resource partitioning for different types of IoT device communications with an adaptive sharing priority (AS) scheme. Moreover, we analyze and compare the performance of conventional admission control schemes such as fixed sharing and complete sharing with our proposed scheme using a developed simulation as well as analytical modeling with a multidimensional continuous-time Markov chain. We also present and discuss the performance results of the AS scheme in terms of blocking probabilities, average waiting delay, and system utilization using different scenarios with different parameters. The results demonstrate that the AS scheme performs better than the two previously studied conventional schemes.