Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review

Imran Edzereiq, Kamarudin and Mohamed Ariff, Ameedeen and Mohd Faizal, Ab Razak and Azlee, Zabidi (2023) Integrating Edge Computing and Software Defined Networking in Internet of Things: A Systematic Review. Iraqi Journal for Computer Science and Mathematics (IJCSM), 4 (4). pp. 121-150. ISSN 2788-7421. (Published)

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Abstract

The Internet of Things (IoT) has transformed our interaction with the world by connecting devices, sensors, and systems to the Internet, enabling real-time monitoring, control, and automation in various applications such as smart cities, healthcare, transportation, homes, and grids. However, challenges related to latency, privacy, and bandwidth have arisen due to the massive influx of data generated by IoT devices and the limitations of traditional cloud-based architectures. Moreover, network management, interoperability, security, and scalability issues have emerged due to the rapid growth and heterogeneous nature of IoT devices. To overcome such problems, researchers proposed a new architecture called Software Defined Networking for Edge Computing in the Internet of Things (SDN-EC-IoT), which combines Edge Computing for the Internet of Things (EC-IoT) and Software Defined Internet of Things (SDIoT). Although researchers have studied EC-IoT and SDIoT as individual architectures, they have not yet addressed the combination of both, creating a significant gap in our understanding of SDN-EC-IoT. This paper aims to fill this gap by presenting a comprehensive review of how the SDN-EC-IoT paradigm can solve IoT challenges. To achieve this goal, this study conducted a literature review covering 74 articles published between 2019 and 2023. Finally, this paper identifies future research directions for SDN-EC-IoT, including the development of interoperability platforms, scalable architectures, low latency and Quality of Service (QoS) guarantees, efficient handling of big data, enhanced security and privacy, optimized energy consumption, resource-aware task offloading, and incorporation of machine learning

Item Type: Article
Uncontrolled Keywords: Edge Computing (EC), Software Defined Networking (SDN), Internet of Things (IoT)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mr. Imran Edzerieq Kamarudin
Date Deposited: 24 Nov 2023 02:27
Last Modified: 24 Nov 2023 02:27
URI: http://umpir.ump.edu.my/id/eprint/39363
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