Title: Fuzzy-based weighted fair queue scheduling technique for internet of things networks

Authors: Harpreet Kaur; Manoj Kumar; Sukhpreet Kaur Sidhu; Sukhwinder Singh Sran

Addresses: Department of Computer Engineering, Yadavindra College of Engineering, Punjabi University Guru Kashi Campus, Talwandi Sabo, Punjab, India ' Department of Computer Engineering, Yadavindra College of Engineering, Punjabi University Guru Kashi Campus, Talwandi Sabo, Punjab, India ' Department of Mathematics, Akal University, Talwandi Sabo, Punjab, India ' Department of Computer Engineering, Yadavindra College of Engineering, Punjabi University Guru Kashi Campus, Talwandi Sabo, Punjab, India

Abstract: In an IoT enabled network, a variety of devices are interconnected to each other and communicate by using ultra low power communication technology known as time slotted channel hopping mechanism. To transmit information accurately, efficiently and in collision free manner, a scheduling window is implemented for the devices deployed in the network. The priority scheduling is one of the solutions implemented recently in which nodes have high priority to transmit data first. Such algorithms can block low priority communication channels indefinitely that may leave some events unreported. In order to achieve fairness, efficiency in scheduling, we used fuzzy-based weighted fair queue scheduling algorithm. So, the fuzzy-based weighted fair queue scheduling suppresses the unfairness in the scheduling mechanism for communication paths having little information. The weighted fair queue scheduling algorithm belongs to a class of scheduling algorithms that are used in network schedulers. To implement this algorithm and compare the performance with the existing technique, the MATLAB platform is used. The results reveal the improvements in network throughput, end-to-end delay, energy consumption rate, network lifetime, congestion rate and packet loss ratio as compared to existing work in the similar scenarios.

Keywords: fair queue scheduling; priority scheduling; data transmissions; fuzzy logic; sensors.

DOI: 10.1504/IJICT.2024.140488

International Journal of Information and Communication Technology, 2024 Vol.25 No.3, pp.265 - 280

Accepted: 27 Sep 2022
Published online: 20 Aug 2024 *

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