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
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Publish Date: | 2020-10-09 |
Description: |
AbstractThe 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. see all
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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: |
319670 324576 325570 326305 318927 325774 |
Detailed Information: |
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/ |