Improvement of QoS Parameters of IoT Networks Using Artificial Intelligence

Abstract

The quality of service (QoS) parameters of IoT networks plays an important role in knowing the efficiency of an application. As the number of IoT users and devices is increasing and the number is envisaged to grow fast in the future, it has become extremely important to pay attention toward the QoS parameters for increasing the acceptability of the technology among the people. The IoT networks should be capable of handling devices of diverse nature and at the same time should provide wireless access to all of them. Artificial intelligence (AI) is one of the techniques to improve the QoS and has been used in this paper to know the change in the QoS parameters for networks with a varying number of nodes. The parameters studied in this paper are end-to-end delay, throughput, packet delivery ratio, and jitter and energy consumption. All the values have been calculated for a network with 30, 40, 50, 60, 70, 80, and 90 nodes. A comparison of QoS parameters by using AI and without AI has been explained. The results indicate that most of the parameters showed improvement in the values for all the sizes of network with the application of AI.KeywordsIoT networkQuality of serviceArtificial intelligenceEnergyThroughputPacket delivery ratioJitter