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Abstract

The Internet of Things (IoT) hastransformed our interaction with the world by connecting devices, sensors, and systems to the Internet, enabling real-timemonitoring, 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). Althoughresearchers have studied EC-IoT and SDIoT as individual architectures, they have not yet addressed thecombination ofboth, creatinga 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 aliterature review covering 74articles published between 2019 and 2023. Finally, this paper identifies future research directions for SDN-EC-IoT, including the development of interoperability platforms, scalablearchitectures, low latencyand Quality of Service (QoS) guarantees, efficient handling of big data, enhanced security and privacy, optimizedenergy consumption, resource-aware task offloading, andincorporation of machine learning.

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