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An SDN-Based Framework for E2E QoS Guarantee in Internet-of-Things Devices
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Publication Year
2024-01-01
Journal
IEEE Internet of Things Journal
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Internet of Things Journal
Keyword
Intelligent networking architectureInternet-of-ThingsPrecision agricultureQoSSDN
Mesh Keyword
Intelligent networkingIntelligent networking architectureLow PowerNetworking architecturePacket loss ratioPrecision AgricultureQuality-of-serviceSensors networkService classSoftware-defined networkings
All Science Classification Codes (ASJC)
Signal ProcessingInformation SystemsHardware and ArchitectureComputer Science ApplicationsComputer Networks and Communications
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.
ISSN
2327-4662
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/34478
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85204944970&origin=inward
DOI
https://doi.org/10.1109/jiot.2024.3465609
Journal URL
http://ieeexplore.ieee.org/servlet/opac?punumber=6488907
Type
Article
Funding
This work was supported partially by the BK21 FOUR program of the National Research Foundation of Korea funded by the Ministry of Education (NRF5199991514504)
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ALI JEHADJEHAD, ALI
Department of Software and Computer Engineering
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