University of Oulu

Li, Y.; Su, X.; Ding, A.Y.; Lindgren, A.; Liu, X.; Prehofer, C.; Riekki, J.; Rahmani, R.; Tarkoma, S.; Hui, P. Enhancing the Internet of Things with Knowledge-Driven Software-Defined Networking Technology: Future Perspectives. Sensors 2020, 20, 3459

Enhancing the Internet of Things with knowledge-driven software-defined networking technology : future perspectives

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Author: Li, Yuhong1,2; Su, Xiang3,4; Ding, Aaron Yi5;
Organizations: 1State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
2Department of Computer and Systems Sciences, Stockholm University, 16407 Stockholm, Sweden
3Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland
4Center for Ubiquitous Computing, University of Oulu, FI-90014 Oulu, Finland
5Department Engineering Systems and Services, Delft University of Technology, 2628BX Delft, The Netherlands
6RISE Research Institutes of Sweden, 16440 Kista, Sweden
7Luleå University of Technology, 97187 Luleå, Sweden
8DENSO Automotive Germany GmbH, 85386 Eching, Germany
9Department of Informatics, Technical University of Munich, 80333 München, Germany
10Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020100983549
Language: English
Published: Multidisciplinary Digital Publishing Institute, 2020
Publish Date: 2020-10-09
Description:

Abstract

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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Series: Sensors
ISSN: 1424-8220
ISSN-E: 1424-8220
ISSN-L: 1424-8220
Volume: 20
Issue: 12
Article number: 3459
DOI: 10.3390/s20123459
OADOI: https://oadoi.org/10.3390/s20123459
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
Funding: 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.
Academy of Finland Grant Number: 3196669
319670
324576
325570
326305
318927
325774
Detailed Information: 3196669 (Academy of Finland Funding decision)
319670 (Academy of Finland Funding decision)
324576 (Academy of Finland Funding decision)
325570 (Academy of Finland Funding decision)
326305 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
325774 (Academy of Finland Funding decision)
Copyright information: © 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/).
  https://creativecommons.org/licenses/by/4.0/