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Enhancing the internet of things with knowledge-driven software-defined networking technology : Future perspectives

Li, Yuhong (author)
Stockholms universitet,Institutionen för data- och systemvetenskap,Beijing University of Posts and Telecommunications, China
Su, Xiang (author)
Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland. Center for Ubiquitous Computing, University of Oulu, FI-90014 Oulu, Finland
Ding, Aaron Yi (author)
Department Engineering Systems and Services, Delft University of Technology, 2628BX Delft, The Netherlands
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Lindgren, Anders, 1978- (author)
Luleå tekniska universitet,RISE,Industriella system,Luleå University of Technology, Sweden,Datavetenskap,RISE Research Institutes of Sweden, 16440 Kista, Sweden
Liu, Xiaoli (author)
Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland
Prehofer, Christian (author)
DENSO Automotive Germany GmbH, 85386 Eching, Germany. Department of Informatics, Technical University of Munich, 80333 München, Germany
Riekki, Jukka P. (author)
Center for Ubiquitous Computing, University of Oulu, FI-90014 Oulu, Finland
Rahmani, Rahim (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
Tarkoma, Sasu (author)
Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland
Hui, Pan (author)
Department of Computer Science, University of Helsinki, FI-00014 Helsinki, Finland. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
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 (creator_code:org_t)
2020-06-19
2020
English.
In: Sensors. - : MDPI AG. - 1424-8220. ; 20:12, s. 1-20
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)

Keyword

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
Pervasive Mobile Computing
Computer and Systems Sciences

Publication and Content Type

ref (subject category)
art (subject category)

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