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Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives

The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning tim...

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Autores principales: Li, Yuhong, Su, Xiang, Ding, Aaron Yi, Lindgren, Anders, Liu, Xiaoli, Prehofer, Christian, Riekki, Jukka, Rahmani, Rahim, Tarkoma, Sasu, Hui, Pan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349240/
https://www.ncbi.nlm.nih.gov/pubmed/32575354
http://dx.doi.org/10.3390/s20123459
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author Li, Yuhong
Su, Xiang
Ding, Aaron Yi
Lindgren, Anders
Liu, Xiaoli
Prehofer, Christian
Riekki, Jukka
Rahmani, Rahim
Tarkoma, Sasu
Hui, Pan
author_facet Li, Yuhong
Su, Xiang
Ding, Aaron Yi
Lindgren, Anders
Liu, Xiaoli
Prehofer, Christian
Riekki, Jukka
Rahmani, Rahim
Tarkoma, Sasu
Hui, Pan
author_sort Li, Yuhong
collection PubMed
description The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN.
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spelling pubmed-73492402020-07-22 Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives Li, Yuhong Su, Xiang Ding, Aaron Yi Lindgren, Anders Liu, Xiaoli Prehofer, Christian Riekki, Jukka Rahmani, Rahim Tarkoma, Sasu Hui, Pan Sensors (Basel) Review The Internet of Things (IoT) connects smart devices to enable various intelligent services. The deployment of IoT encounters several challenges, such as difficulties in controlling and managing IoT applications and networks, problems in programming existing IoT devices, long service provisioning time, underused resources, as well as complexity, isolation and scalability, among others. One fundamental concern is that current IoT networks lack flexibility and intelligence. A network-wide flexible control and management are missing in IoT networks. In addition, huge numbers of devices and large amounts of data are involved in IoT, but none of them have been tuned for supporting network management and control. In this paper, we argue that Software-defined Networking (SDN) together with the data generated by IoT applications can enhance the control and management of IoT in terms of flexibility and intelligence. We present a review for the evolution of SDN and IoT and analyze the benefits and challenges brought by the integration of SDN and IoT with the help of IoT data. We discuss the perspectives of knowledge-driven SDN for IoT through a new IoT architecture and illustrate how to realize Industry IoT by using the architecture. We also highlight the challenges and future research works toward realizing IoT with the knowledge-driven SDN. MDPI 2020-06-19 /pmc/articles/PMC7349240/ /pubmed/32575354 http://dx.doi.org/10.3390/s20123459 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Li, Yuhong
Su, Xiang
Ding, Aaron Yi
Lindgren, Anders
Liu, Xiaoli
Prehofer, Christian
Riekki, Jukka
Rahmani, Rahim
Tarkoma, Sasu
Hui, Pan
Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives
title Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives
title_full Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives
title_fullStr Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives
title_full_unstemmed Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives
title_short Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives
title_sort enhancing the internet of things with knowledge-driven software-defined networking technology: future perspectives
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7349240/
https://www.ncbi.nlm.nih.gov/pubmed/32575354
http://dx.doi.org/10.3390/s20123459
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