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Enhancing the internet of things with knowledge-driven software-defined networking technology: Future perspectives
Beijing University of Posts and Telecommunications, China; Stockholm University, Sweden.
University of Helsinki, Finland; University of Oulu, Finland.
Delft University of Technology, The Netherlands.
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems. Luleå University of Technology, Sweden.
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2020 (English)In: Sensors, E-ISSN 1424-8220, Vol. 20, no 12, p. 1-20, article id 3459Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
MDPI AG , 2020. Vol. 20, no 12, p. 1-20, article id 3459
Keywords [en]
Internet of Things (IoT), IoT-proxy, Knowledge-driving networking, Software-defined Networking (SDN), Application programs, Computer systems programming, Information management, Network architecture, Software defined networking, Control and management, Future perspectives, Intelligent Services, Internet of thing (IOT), Large amounts of data, Network management and control, Service provisioning, Software defined networking (SDN), Internet of things, intelligence, review, software
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-45386DOI: 10.3390/s20123459Scopus ID: 2-s2.0-85087030109OAI: oai:DiVA.org:ri-45386DiVA, id: diva2:1455082
Note

Funding details: Academy of Finland, 318927, 326305, 325570, 3196669, 324576, 325774, 319670; Funding text 1: The research of Y.L. was partly done during her visit in Stockholm University. The research of X.S., P.H., X.L., S.T. and J.R. was partially funded by Academy of Finland, grant number 3196669, 319670, 324576, 325570, 326305, 318927 and 325774. The work of A.Y.D. was partially supported by the Do IoT Fieldlab and iSafe Project with funding from TU Delft Safety & Security Institute.

Available from: 2020-07-22 Created: 2020-07-22 Last updated: 2025-09-23

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