SDN-Assisted IoT Architecture: A Review

Shamsan, Ali Haider; Faridi, Arman Rasool

doi:10.1109/ccaa.2018.8777339

Cited by 7 publications

(10 citation statements)

References 21 publications

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“…In [3], the authors review SDN-enabled IoT architectures proposed by different researchers. They classify the architectures into three categories: layer-based (device layer, communication layer, computing layer (SDN controller), and service layer), agent-based (each device has an IoT agent to interact with IoT controllers), and domain-based (multiple SDN domains with one or more controllers in each domain).…”

Section: Related Surveysmentioning

confidence: 99%

“…The last decade has seen a new wave of networking innovation, largely due to the Software Defined Networking (SDN) paradigm [8]. SDN is currently being deployed in all cloud computing environments and server operations, and is potentially serving as the foundation for the majority of future network services [3]. The key feature of SDN is the separation of the network control plane (responsible for routing) from the data plane (responsible for forwarding) [29].…”

Section: Network Softwarizationmentioning

confidence: 99%

“…It impacts all areas of human life as it is applied in diverse fields such as smart cities, healthcare, smart vehicles, etc. [2] [3]. It is growing exponentially [4] as the number of IoT devices is expected to exceed 30 billion by 2025.…”

Section: Introductionmentioning

confidence: 99%

“…It is growing exponentially [4] as the number of IoT devices is expected to exceed 30 billion by 2025. The huge number of interconnected heterogeneous devices poses new challenges to IoT networks as these devices generate a massive and increasing amount of data [3] [5]. The heterogeneity of IoT is also confirmed by the simultaneous use of different communication technologies (e.g., cellular networks, Wi-Fi, Zigbee), all in a large geographically distributed network.…”

Section: Introductionmentioning

confidence: 99%

“…By centralizing device control functions, SDN enables programmable networks that are easier to manage, configure, and control [1] [6]. It is noted that SDN is the ideal solution for IoT scalability [3]. As a key enabler for network softwarization, SDN has rapidly grown together with the NFV concept [8].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Review and analysis of recent advances in intelligent network softwarization for the Internet of Things

Zormati,

Lakhlef,

Ouni

2024

Computer Networks

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Section: Related Surveysmentioning

confidence: 99%

Section: Network Softwarizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Review and analysis of recent advances in intelligent network softwarization for the Internet of Things

Zormati,

Lakhlef,

Ouni

2024

Computer Networks

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Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future directions

Rahman

Islam

Kundu

et al. 2023

Int J Communication

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SummaryAs an emerging technology, blockchain (BC) has been playing a promising role in today's software‐defined networking (SDN)‐enabled Internet of Things (IoT) applications. Because of the salient feature of the network function virtualization (NFV) techniques, SDN can ensure an IoT system runs efficiently and smoothly in a cloud‐driven ecosystem. When cloud‐enabled systems encounter immense security and operational challenges caused mainly by third‐party dependency, large‐scale data communication, and maintenance, BC offers effective and robust data transfer solutions without incorporating intermediaries over the distributed network. With the increased SDN‐BC convergence in the IoT domain, the underlying challenges and perspectives deserve proper attention methodically and structurally. From the motivation of addressing such issues, this study provides necessary insights to combine those for successful plug‐and‐play. Therefore, the study includes purposefully investigating current state‐of‐the‐art to extract the research trends, future directions, and perspectives in this domain. This study provides a comprehensive survey of IoT, SDN, NFV, and BC‐enabled emerging technologies. More importantly, the authors intelligently integrated the four different technologies—IoT, SDN, BC, and NFV based on characteristics, scopes, challenges, taxonomies, and tables in numerous areas. Initially, the authors introduce the SDN‐IoT ecosystem in brief and address the features and applications. We took a close look at the SDN's overall taxonomy based on security, environment, scopes, and challenges. We also briefly describe the integration of SDN‐IoT with the NFV ecosystems. Moreover, we review the prospect of BC technology from security perspectives, its extent, challenges of practical implementation, and the possible integration of IoT regarding smart applications. Finally, this study highlights several future directions based on these technologies.

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Autonomic IoT: Towards Smart System Components with Cognitive IoT

Agyemang

Kponyo

2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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SDN-Assisted IoT Architecture: A Review

Cited by 7 publications

References 21 publications

Review and analysis of recent advances in intelligent network softwarization for the Internet of Things

Review and analysis of recent advances in intelligent network softwarization for the Internet of Things

Impacts of blockchain in software‐defined Internet of Things ecosystem with Network Function Virtualization for smart applications: Present perspectives and future directions

Autonomic IoT: Towards Smart System Components with Cognitive IoT

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