An SDN-Based Framework for E2E QoS Guarantee in Internet-of-Things Devices

Date

2024-09-23

Department

Program

Citation of Original Publication

Ali, Jehad, Houbing Herbert Song, and Byeong-hee Roh. “An SDN-Based Framework for E2E QoS Guarantee in Internet-of-Things Devices.” IEEE Internet of Things Journal, 2024, 1–1. https://doi.org/10.1109/JIOT.2024.3465609.

Rights

© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Abstract

In 5G and Beyond-based Internet-of-Things (IoT) sensor networks, the end-to-end (E2E) route traverses via multiple heterogeneous network domains, necessitating inter-domain interaction to guarantee and confirm quality-of-service (QoS) for low power IoT devices applications. Moreover, in heterogeneous IoT sensor networks, the E2E path often encompasses domains with diverse QoS parameters or classes. The unique E2E requirements for delay, packet loss ratio (PLR), and other factors present further challenges. However, existing legacy network architectures and typical software-defined networking (SDN) models lack effective strategies for QoS provisioning tailored to the service requests of IoT low power sensor devices. To address these issues, this study proposes a novel multi-objective SDN-based framework for IoT sensors, ensuring E2E QoS across multiple domains with heterogeneous traffic service classes (TSC). A two-layer software-defined networking (SDN) framework is presented to provision QoS for IoT sensors based on their specific service demands at the E2E network level. Central to the framework is the deployment of an optimal additive weighting module (OAWM), facilitating TSC ranking according to their weights and incorporating a priority mechanism for specific service parameters such as delay, PLR, and jitter. Additionally, the global controller statistics enable the provisioning of E2E QoS by mapping the service requests from IoT sensors. Experimental evaluations are conducted to compare the proposed approach with existing schemes. The results validate the effectiveness of our proposed method, demonstrating improved E2E QoS provisioning and meeting the specific requirements of IoT sensors in precision agriculture with low-power IoT devices.