Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15334
Title: Quality of Service Evaluation of Software Defined Internet of Things Network
Authors: EBERECHUKWU, PUALSON NUMAN
YUSOF, MUHAMAD KAMLUDIN
DIN, JAFRI BIN
MORSONO, MUHAMMAD NADZIR BIN
DAUDA, UMAR SULEIMAN
SALAWU, NATHANIEL
FAPOHUNDA, KOFOWOROLA O.
Keywords: Internet of Things, Software-Defined Networking, SDIoT, QoS, Jitter, Latency and Throughput.
Issue Date: 30-Apr-2021
Publisher: Penerbit UTM Press
Abstract: With the exponential growth of the Internet of Things (IoT) devices connected to the internet, resource provisioning for such the heterogeneous network is a challenging task for the traditional network architecture. In this context, the SoftwareDefined Networking (SDN) introduces many opportunities and provides the potential to overcome challenges associated with traditional network architecture. This work presents a Software-Defined IoT (SDIoT) architecture. The main focus of this research is to design a control plane (CP) for the SDIoT. The scope of this work is limited to the introduction of an overlay SDN CP in the traditional IoT network architecture. The proposed architecture focuses on resource provisioning while ensuring the quality of service (QoS) satisfaction for the network. A comparative analysis between the traditional and the SDN network approach was done in terms of Jitter, Latency and Throughput. From the latency, delay and throughput performance results, the SDN-based IoT network improves network efficiency by reducing network overheads generated from frequent communication between the nodes and the controllers. Precisely, the average latency and average jitter percentile improvement from the traditional IoT network to the SDIoT for all the nodes is 574% and 600% respectively. Also, an overall throughput improvement is recorded for the SDIoT when compared to traditional IoT network for all the nodes.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15334
ISSN: 0128-4428
Appears in Collections:Electrical/Electronic Engineering

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